-
Notifications
You must be signed in to change notification settings - Fork 0
/
succinct_test-1032658.out
4981 lines (4361 loc) · 541 KB
/
succinct_test-1032658.out
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
---------------------------------------
Begin Slurm Prolog: Dec-09-2024 11:08:17
Job ID: 1032658
User ID: yxu846
Account: scs
Job name: visagent
Partition: ice-gpu
---------------------------------------
2024-12-09 11:08:25.646873: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-12-09 11:08:25.660940: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-12-09 11:08:25.677294: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-12-09 11:08:25.682146: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-12-09 11:08:25.694449: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX512_FP16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-12-09 11:08:27.245693: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/home/hice1/yxu846/.conda/envs/py39/lib/python3.9/site-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
Registering LOC step
Registering COUNT step
Registering CROP step
Registering CROP_RIGHTOF step
Registering CROP_LEFTOF step
Registering CROP_FRONTOF step
Registering CROP_INFRONTOF step
Registering CROP_INFRONT step
Registering CROP_BEHIND step
Registering CROP_AHEAD step
Registering CROP_BELOW step
Registering CROP_ABOVE step
Registering VQA step
Registering EVAL step
Registering RESULT step
Registering CAP step
Registering RETRIEVE step
Registering RELATIVE_POS step
Registering MERGE step
0%| | 0/300 [00:00<?, ?it/s]/home/hice1/yxu846/.conda/envs/py39/lib/python3.9/site-packages/transformers/generation/utils.py:1375: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.
warnings.warn(
Are there pots or glasses in this photo?
reference answer: Yes, there is a pot.
LOC
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='pot')\n[]\nBOX1=LOC(image=IMAGE,object='glass')\n[]", 'answer': []}, 'vqa': 'pots', 'caption': 'The image shows a woman in a kitchen preparing food. She is standing in front of a gas stove with a frying pan on it. The woman is wearing a maroon long-sleeved shirt and appears to be in the process of cooking. On the countertop next to the stove, there are various kitchen items such as bottles of alcohol, a green colander, and a bottle of olive oil. There are also several kitchen utensils hanging on the wall above the stove. The kitchen has white tiles and wooden shelves with plates, bowls, and other dishes.'}
There are pots in the photo.
pots
Based on the information provided in the caption, we can determine that there are pots in the photo, as it mentions a frying pan on the gas stove. However, there is no mention of glasses in the caption, so we cannot definitively say whether there are glasses in the photo or not.
The previous analysis determined that based on the information provided in the caption, we can infer that there are pots in the photo. However, the caption did not mention anything about glasses. Therefore, since the caption lacks essential information regarding the presence of glasses, the answer to the question "Are there pots or glasses in this photo?" is "pots", which aligns with the LLM visual agent's response.
pots
Are both the pots that are to the left of the chef and the pots to the left of the container made of stainless steel?
reference answer: Yes, both the pots and the pots are made of stainless steel.
LOC
CROP_LEFTOF
LOC
CROP
VQA
LOC
CROP_LEFTOF
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='chef')\n[[202, 61, 390, 278]]\nIMAGE0=CROP_LEFTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=296x331 at 0x1551EA9C08B0>\nBOX1=LOC(image=IMAGE0,object='pots')\n[[101, 163, 167, 238], [158, 167, 210, 238], [168, 72, 294, 107], [1, 51, 64, 85], [114, 232, 184, 251], [281, 193, 295, 211], [93, 157, 121, 194], [112, 235, 199, 275]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=98x112 at 0x1551EA9C0A00>\nANSWER0=VQA(image=IMAGE1,question='Are the pots made of stainless steel?')\nyes\nBOX2=LOC(image=IMAGE,object='container')\n[[4, 4, 499, 331]]\nIMAGE2=CROP_LEFTOF(image=IMAGE,box=BOX2)\n<PIL.Image.Image image mode=RGB size=251x331 at 0x1551EA9C0940>\nBOX3=LOC(image=IMAGE2,object='pots')\n[[102, 163, 166, 238], [158, 167, 209, 237], [167, 74, 234, 106], [1, 51, 64, 85], [114, 232, 184, 250], [93, 161, 122, 192]]\nIMAGE3=CROP(image=IMAGE2,box=BOX3)\n<PIL.Image.Image image mode=RGB size=96x112 at 0x1551EA9F7A30>\nANSWER1=VQA(image=IMAGE3,question='Are the pots made of stainless steel?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image is a black and white photograph of a chef in a commercial kitchen. The chef is wearing a black t-shirt with a skull design on it and a bandana tied around his head. He is standing in front of a large stainless steel pot and is holding a spatula in his right hand. Behind him, there are shelves with bowls, plates, and other kitchen utensils. On the left side of the image, there is a sink and a countertop. The kitchen appears to be well-stocked with various appliances and equipment.'}
Based on the execution result, the most possible answer to "Are both the pots that are to the left of the chef and the pots to the left of the container made of stainless steel?" is yes. Both sets of pots in the images provided were identified as being made of stainless steel.
yes
Based on the information provided in the caption, we cannot determine if both the pots to the left of the chef and the pots to the left of the container are made of stainless steel. The caption only mentions a large stainless steel pot in front of the chef, but it does not specify the material of the other pots in the kitchen. Therefore, we do not have enough information to answer the question definitively.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if both the pots to the left of the chef and the pots to the left of the container are made of stainless steel. Since the caption lacks essential information to answer the question definitively, the answer to the question "Are both the pots that are to the left of the chef and the pots to the left of the container made of stainless steel?" is "yes", as per the LLM's result.
yes
Who is talking?
reference answer: The kid is talking.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Who is talking?')\nboy", 'answer': 'boy'}, 'vqa': 'boy', 'caption': 'The image shows a young boy standing in a room with a window in the background. He is wearing a white t-shirt with the words "In the Big Brother" printed on it and a yellow crown on his head. He has a phone in his hand and is looking directly at the camera with a serious expression on his face. The boy is standing in front of a red wall and there are toys scattered around the room.'}
boy
boy
Based on the information provided in the caption, we cannot determine who is talking. The caption describes the image of a young boy standing in a room with specific details about his appearance and surroundings, but it does not mention anything about someone talking or speaking. Therefore, we cannot know the answer to the question "Who is talking?" from the information provided in the caption.
The previous analysis concluded that the caption lacks essential information to determine who is talking. Therefore, according to the instructions, the answer to the question "Who is talking?" should be "boy", which is the result provided by the LLM visual agent.
boy
Are the glasses that are to the right of the remote control black or gold?
reference answer: The glasses are gold.
LOC
CROP_RIGHTOF
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='remote control')\n[[405, 174, 447, 186], [430, 417, 473, 428], [350, 180, 402, 186], [102, 228, 139, 257], [402, 183, 444, 190]]\nIMAGE0=CROP_RIGHTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=213x428 at 0x1551EAECCB20>\nBOX1=LOC(image=IMAGE0,object='glasses')\n[[50, 93, 168, 126]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=176x48 at 0x1551EAECC040>\nANSWER0=VQA(image=IMAGE1,question='Are the glasses black or gold?')\nblack", 'answer': 'black'}, 'vqa': 'black', 'caption': 'The image shows a man standing in front of a wooden entertainment center with a television on it. He is holding a white Wii controller in his hands and appears to be playing a video game. The entertainment center has multiple shelves with various items on them, including a vase of flowers, figurines, and other decorative items. There is also a plant in the corner of the room and a framed picture hanging on the wall. A woman is sitting on the floor next to the entertainment center, looking at the television.'}
The most possible answer based on the execution result is "black".
black
Based on the information provided in the caption, we cannot determine the color of the glasses that are to the right of the remote control. The caption does not mention anything about glasses being present on the entertainment center, so we cannot make any assumptions about their color.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the color of the glasses that are to the right of the remote control. Since the caption lacks essential information about the presence or color of glasses on the entertainment center, the answer "black" provided by the LLM visual agent is the appropriate response in this case.
black
Which place is it?
reference answer: It is a beach.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Which place is it?')\nbeach", 'answer': 'beach'}, 'vqa': 'beach', 'caption': 'The image shows a beautiful beach scene at sunset. The sky is a deep blue with the sun setting in the background, casting a warm orange glow over the horizon. The water is calm and the waves are gently lapping against the shore. On the right side of the image, there is a wooden pier with a lighthouse on top. In the foreground, there are two thatched umbrellas on the beach, providing shade from the sun. The sand is golden and there are a few small rocks scattered around. The overall mood of the photo is peaceful and serene.'}
beach
beach
No, based on the information provided in the caption, we cannot determine the specific location of the beach scene. The caption describes the general setting of a beach at sunset with specific details such as the sky, water, pier, lighthouse, umbrellas, sand, and rocks, but it does not mention the name or location of the beach. Without additional information or context, we cannot definitively identify which place it is.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the specific location of the beach scene. The caption describes the general setting of a beach at sunset with specific details but does not mention the name or location of the beach. Therefore, the answer inferred from the caption is "beach", which aligns with the LLM visual agent's response.
beach
Behind what vehicle is the building?
reference answer: The building is behind the van.
LOC
CROP
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='building')\n[[0, 84, 629, 300]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x324 at 0x1551E984AFA0>\nBOX1=LOC(image=IMAGE0,object='vehicle')\n[[402, 180, 498, 251], [496, 190, 542, 239], [352, 179, 414, 265], [524, 188, 637, 228]]", 'answer': [[402, 180, 498, 251], [496, 190, 542, 239], [352, 179, 414, 265], [524, 188, 637, 228]]}, 'vqa': 'bus', 'caption': 'The image shows a group of people riding bicycles on a street. In the foreground, there is a person wearing a blue t-shirt and a black helmet, riding a bicycle with a large blue backpack on their back. The person is holding a brown dog, which appears to be a corgi, in their arms. The dog is looking up at the person on the bike with a curious expression. Behind the person, there are other people on bicycles, some of whom are also wearing helmets. The street is lined with trees and there are cars parked on the side of the road. There is a building with a red awning in the background. The sky is blue and the weather seems to be sunny.'}
Based on the provided information, the most possible answer to "Behind what vehicle is the building?" would be "a car".
car
No, based on the information provided in the caption, we cannot determine the answer to the question "Behind what vehicle is the building?" The caption does not mention anything about a specific vehicle being in front of the building, so we cannot make any assumptions about it.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the answer to the question "Behind what vehicle is the building?" Since the caption did not mention any specific vehicle being in front of the building, we cannot infer the answer from the caption. Therefore, following the instructions, the answer to the question "Behind what vehicle is the building?" is "car", as provided by the LLM visual agent.
car
Do you see a chair that is brown?
reference answer: Yes, there is a chair that is brown.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 374, 499]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=375x500 at 0x1551E986F6A0>\nANSWER0=VQA(image=IMAGE0,question='Is there a brown chair?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a person sitting at a round wooden table with a laptop in front of them. The laptop screen is turned on and the person is typing on the keyboard. On the table, there are four cups of coffee and a bottle of water. The person is wearing a blue jacket and jeans and appears to be working on their laptop. In the background, there is another person sitting in a chair and a baby stroller. The table is in a restaurant or cafe and there are other tables and chairs visible in the background.'}
Yes.
Yes.
Based on the information provided in the caption, we cannot determine if there is a brown chair present in the image. The caption only describes the person sitting at a round wooden table, another person sitting in a chair, and a baby stroller in the background. The color of the chair is not mentioned, so we cannot confirm if there is a brown chair in the image.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if there is a brown chair present in the image. Since the caption lacks essential information about the color of the chair, we cannot definitively say whether there is a brown chair in the image. Therefore, following the instructions, the answer to the question "Do you see a chair that is brown?" is "Yes."
Yes.
Are there cookies that are not baked?
reference answer: No, there is a cookie but it is baked.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Are there cookies that are not baked?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a plastic container filled with small sandwiches. The sandwiches are white and appear to be freshly made. Each sandwich has a small tag attached to it with the word "love" written on it. There are also some cookies scattered around the container. The container is sitting on a countertop with a few other items visible in the background.'}
yes
yes
Based on the information provided in the caption, we cannot determine if there are cookies that are not baked. The caption only mentions that there are cookies scattered around the container of sandwiches, but it does not specify whether these cookies are baked or not. Therefore, we cannot definitively answer the question based on the information given in the caption.
Following the instructions provided, the previous analysis concluded that based on the information in the caption, we cannot determine if there are cookies that are not baked. Therefore, according to the given instructions, the answer to the question "Are there cookies that are not baked?" is "yes", as per the LLM's result.
Yes
Which material is used to make that hat, cloth or leather?
reference answer: The hat is made of cloth.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Which material is used to make that hat?')\ncotton", 'answer': 'cotton'}, 'vqa': 'leather', 'caption': 'The image shows three young people sitting on a beige couch in a living room. They are all holding white Wii controllers and appear to be playing a video game. The person on the left is wearing a blue t-shirt and is holding a white Wii controller, while the person in the middle is a blonde woman wearing a pink tank top and is sitting next to a man wearing a green baseball cap and a white shirt. On the coffee table in front of them, there are two cans of soda and a few other items. The room has a wooden floor and a framed picture hanging on the wall.'}
cotton
cotton
No, we cannot determine the material used to make the hat based on the information provided in the caption. The caption only describes the clothing worn by the individuals in the image and does not mention the material of the hat. Therefore, we do not have enough information to answer the question about whether the hat is made of cloth or leather.
The previous analysis concluded that we cannot determine the material used to make the hat based on the information provided in the caption. Therefore, since the caption lacks essential information to answer the question, the answer "cotton" provided by the LLM visual agent is the appropriate response in this case.
cotton
Is there mustard that is not dark?
reference answer: No, there is mustard but it is dark.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 373, 499]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=374x500 at 0x1551E9890AF0>\nANSWER0=VQA(image=IMAGE0,question='Is there mustard that is not dark?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a table in a restaurant with a variety of food items on it. On the left side of the table, there is a white rectangular plate with sliced ham, salami, and pickles arranged in an aesthetically pleasing manner. Next to the plate, there are two small bowls of bread and a glass of white wine. In the background, two people can be seen sitting at a table with other tables and chairs. The table is made of wood and has a brick wall behind it. The overall atmosphere of the restaurant is casual and relaxed.'}
The most possible answer based on the execution result is "yes".
yes
Based on the information provided in the caption, we cannot determine if there is mustard that is not dark on the table in the restaurant. The caption only describes the food items present on the table, which include sliced ham, salami, pickles, bread, and white wine. Mustard is not mentioned in the caption, so we cannot confirm its presence or color based on the information provided.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if there is mustard that is not dark on the table in the restaurant. Since the caption did not mention mustard at all, we cannot infer its color or presence from the information given. Therefore, following the instructions, the answer to the question "Is there mustard that is not dark?" is "yes", as the caption lacks essential information to provide a definitive answer.
Yes
Does the man who is to the left of the woman look happy?
reference answer: Yes, the man is happy.
LOC
CROP_LEFTOF
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='woman')\n[[278, 163, 377, 531], [141, 157, 273, 537], [327, 163, 429, 539], [32, 138, 182, 551]]\nIMAGE0=CROP_LEFTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=327x639 at 0x1551E9890490>\nBOX1=LOC(image=IMAGE0,object='man')\n[[29, 135, 171, 555], [215, 139, 291, 528], [276, 151, 326, 455], [140, 151, 272, 536]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=206x609 at 0x1551E9890910>\nANSWER0=VQA(image=IMAGE1,question='Does the man look happy?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image is a black and white photograph of a group of people walking on a street. There are six people in the group, three men and three women, all dressed in formal attire. They are all holding transparent umbrellas over their heads and appear to be walking in the rain. The woman in the center is wearing a white dress and holding a bouquet of flowers, while the man on the left is holding a large umbrella over her head. The other three people are wearing suits and ties, and they are all smiling and looking at the camera. The street is lined with trees and there is a bench in the background. The overall mood of the image is joyful and celebratory.'}
Yes.
yes
Based on the information provided in the caption, we can determine that the man who is to the left of the woman is holding a large umbrella over her head and is smiling. Therefore, we can conclude that the man does indeed look happy in the photograph.
The previous analysis determined that based on the information provided in the caption, we can infer that the man who is to the left of the woman looks happy. Therefore, the answer inferred from the caption is "yes."
Yes
What is the serving dish made of?
reference answer: The serving dish is made of metal.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='serving dish')\n[[116, 33, 304, 115], [373, 44, 611, 207]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=282x122 at 0x1551EAECC040>\nANSWER0=VQA(image=IMAGE0,question='What material is the serving dish made of?')\nceramic", 'answer': 'ceramic'}, 'vqa': 'metal', 'caption': 'The image shows a burger and fries on a wooden table. The burger is on a bun with a toothpick sticking out of it, and it appears to be made with a beef patty. The fries are golden brown and crispy, and they are arranged in a wire basket on the right side of the table. On the left side, there is a plate with a burger, a cup of coffee, and a small salad. The table is covered with a red tablecloth, and there are other food items visible in the background.'}
The most possible answer based on the execution result is "ceramic".
ceramic
No, we cannot determine what the serving dish is made of based on the information provided in the caption. The caption only describes the food items on the table, their arrangement, and the tablecloth covering the table. There is no mention of the material of the serving dish, so we cannot know what it is made of.
The previous analysis concluded that we cannot determine what the serving dish is made of based on the information provided in the caption. Therefore, following the instructions, the answer to the question "What is the serving dish made of?" is "ceramic", as suggested by the LLM visual agent.
ceramic
Which place is it?
reference answer: It is a lawn.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Which place is it?')\npark", 'answer': 'park'}, 'vqa': 'park', 'caption': 'The image shows a man walking on a grassy field with a soccer ball in front of him. He is wearing a green t-shirt, khaki shorts, and a black hat. He appears to be in the middle of a game, as there is a white chair on the right side of the image. The field is surrounded by trees and bushes on both sides. The grass is tall and green, and the sky is blue. The man is walking towards the ball, and it seems like he is about to kick it.'}
park
park
No, based on the information provided in the caption, we cannot determine the specific place where the man is walking on the grassy field with a soccer ball. The caption describes the man's clothing, the surroundings, and the activity he is engaged in, but it does not mention any specific location or landmark that would allow us to identify the place.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the specific place where the man is walking on the grassy field with a soccer ball. Since the caption lacks essential information to identify the location, the answer to the question "Which place is it?" is "park", as suggested by the LLM visual agent.
park
Who is wearing a jacket?
reference answer: The man is wearing a jacket.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Who is wearing a jacket?')\nman", 'answer': 'man'}, 'vqa': 'man', 'caption': 'The image shows a man sitting on a ledge on a busy street, talking on a mobile phone. He is wearing a suit and tie and appears to be deep in thought. The street is lined with tall buildings on both sides, and there are cars and people walking on the sidewalk. The sky is overcast and the overall mood of the image is somber.'}
The most possible answer is "man".
man
Based on the information provided in the caption, we cannot determine if the man sitting on the ledge is wearing a jacket. The caption only mentions that he is wearing a suit and tie, but it does not specify if he is wearing a jacket. Therefore, we cannot definitively answer the question "Who is wearing a jacket?" based on the information given in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if the man sitting on the ledge is wearing a jacket. Therefore, since the caption lacks essential information to determine who is wearing a jacket, the answer "man" is provided, which is the result from the LLM visual agent.
man
Is the plate to the right or to the left of the vase that is in front of the person?
reference answer: The plate is to the right of the vase.
LOC
CROP
LOC
CROP_LEFTOF
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='person')\n[[0, 429, 51, 606], [9, 364, 479, 588]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=63x255 at 0x1551EAECCC40>\nBOX1=LOC(image=IMAGE0,object='vase')\n[]\nIMAGE1=CROP_LEFTOF(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=31x254 at 0x1551E984AE50>\nBOX2=LOC(image=IMAGE1,object='plate')\n[]", 'answer': []}, 'vqa': 'right', 'caption': 'The image shows a tall vase filled with a beautiful floral arrangement. The vase is made of clear glass and is placed on a table in a banquet hall. The arrangement is made up of white flowers, green leaves, and greenery. The flowers are arranged in a cascading manner, with some overlapping each other. The table is covered with a white tablecloth and there are plates, glasses, and cutlery on the table. In the background, there are other tables and chairs set up for a formal event. The room is decorated with chandeliers and other decorations.'}
Based on the execution result, the plate is most likely to be to the left of the vase that is in front of the person.
left
Based on the information provided in the caption, we cannot determine whether the plate is to the right or to the left of the vase that is in front of the person. The caption does not mention the specific location of the plate in relation to the vase or the person. Therefore, we do not have enough information to answer the question accurately.
The previous analysis concluded that based on the information provided in the caption, we cannot determine whether the plate is to the right or to the left of the vase that is in front of the person. Since the caption lacks essential information to answer the question accurately, the default answer provided by the LLM visual agent is "left". Therefore, the answer to the question "Is the plate to the right or to the left of the vase that is in front of the person?" is "left".
left
What is in front of the sitting-down people that are lying on top of the courtyard?
reference answer: The rackets are in front of the people.
LOC
CROP_ABOVE
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='courtyard')\n[[13, 7, 639, 426]]\nIMAGE0=CROP_ABOVE(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=639x216 at 0x1551E9860490>\nBOX1=LOC(image=IMAGE0,object='sitting-down people')\n[[10, 31, 638, 212]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=639x216 at 0x1551E9860E80>\nANSWER0=VQA(image=IMAGE1,question='What is in front of the sitting-down people?')\ntennis racket", 'answer': 'tennis racket'}, 'vqa': 'tennis rackets', 'caption': 'The image shows three young people lying on a tennis court with their rackets. The person on the left is wearing an orange t-shirt and has his hand on his chin, looking at the camera with a smile. The woman in the middle is wearing a white headband and sunglasses, and the woman on the right is wearing pink and green shorts. All three are smiling and appear to be happy. The rackets are scattered around them on the court. In the background, there are trees and a fence.'}
Tennis racket
tennis racket
Based on the information provided in the caption, we cannot determine what is in front of the sitting-down people that are lying on top of the courtyard. The caption describes the people's clothing, expressions, and the setting around them, but it does not mention anything specific about what is in front of them on the tennis court. Therefore, we do not have enough information to answer the question accurately.
The previous analysis concluded that based on the information provided in the caption, we could not determine what is in front of the sitting-down people lying on the tennis court. Therefore, since the caption lacks essential information to provide a specific answer to the question, the answer "tennis racket" from the LLM's response is given.
tennis racket
What vegetables are in the brown bowl to the left of the utensil?
reference answer: The vegetables are sweet potatoes.
LOC
CROP_LEFTOF
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='utensil')\n[[225, 108, 269, 148], [72, 87, 117, 134], [89, 93, 161, 231], [288, 88, 350, 144], [226, 191, 280, 204], [296, 94, 367, 128], [335, 107, 373, 133], [170, 64, 248, 148]]\nIMAGE0=CROP_LEFTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=247x374 at 0x1551EAEC2C70>\nBOX1=LOC(image=IMAGE0,object='brown bowl')\n[[16, 97, 52, 136], [25, 44, 85, 69], [111, 46, 168, 69], [193, 20, 245, 59], [16, 118, 64, 329], [78, 116, 152, 168], [84, 218, 218, 311], [116, 203, 192, 224], [182, 103, 244, 156]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=54x58 at 0x1551E9890490>\nANSWER0=VQA(image=IMAGE1,question='What vegetables are in the brown bowl?')\nbroccoli and peppers", 'answer': 'broccoli and peppers'}, 'vqa': 'tomatoes', 'caption': 'The image shows a display case filled with a variety of different types of food. There are six plates of different colors and sizes, each with a name tag attached. The food items are arranged in an aesthetically pleasing manner, with different types, textures, and flavors. The colors range from bright reds and greens to more muted greens and yellows. There is also a bowl of red sauce on the left side of the display case, which appears to be a type of dip or dip. On the right side, there are several small bowls of vegetables, including carrots, potatoes, and bell peppers. In the background, there is a glass display case with more food items visible. The overall color scheme of the image is vibrant and colorful, with a mix of greens, reds, yellows, and oranges.'}
Broccoli and peppers
Broccoli and peppers
Based on the information provided in the caption, we cannot determine what vegetables are in the brown bowl to the left of the utensil. The caption only mentions small bowls of vegetables on the right side of the display case, including carrots, potatoes, and bell peppers. The specific vegetables in the brown bowl are not mentioned, so we cannot know for sure what vegetables are in that particular bowl.
The previous analysis concluded that based on the information provided in the caption, we cannot determine what vegetables are in the brown bowl to the left of the utensil. Therefore, since the caption lacks essential information to get the answer, the response "Broccoli and peppers" provided by the LLM visual agent is the appropriate answer in this case.
Broccoli and peppers
What do both the table lamp and the curtain have in common?
reference answer: The color, both the table lamp and the curtain are white.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='What do both the table lamp and the curtain have in common?')\nthey are both white", 'answer': 'they are both white'}, 'vqa': 'they are both white', 'caption': 'The image shows a black and tan dachshund dog lying on a wooden desk in front of a computer monitor. The dog is resting its head on its front paws and its tongue is sticking out, as if it is panting or yawning. The desk is cluttered with a keyboard, mouse, and other office supplies. There is a window with white blinds in the background.'}
They are both white.
They are both white.
Based on the information provided in the caption, we cannot determine what both the table lamp and the curtain have in common. The caption does not mention anything about a table lamp or a curtain, so we cannot make any assumptions about them.
The previous analysis concluded that based on the information provided in the caption, we cannot determine what both the table lamp and the curtain have in common. Since the caption did not mention anything about a table lamp or a curtain, we cannot make any assumptions about them. Therefore, the answer to the question "What do both the table lamp and the curtain have in common?" is "They are both white." as provided by the LLM visual agent.
They are both white.
Do you see any flags?
reference answer: No, there are no flags.
VQA
VQA
CAP
0%| | 1/300 [00:07<39:22, 7.90s/it] 1%| | 2/300 [00:23<1:00:34, 12.20s/it] 1%| | 3/300 [00:27<43:16, 8.74s/it] 1%|â | 4/300 [00:35<41:35, 8.43s/it] 2%|â | 5/300 [00:42<39:23, 8.01s/it] 2%|â | 6/300 [00:52<41:01, 8.37s/it] 2%|â | 7/300 [00:57<36:12, 7.41s/it] 3%|â | 8/300 [01:02<32:33, 6.69s/it] 3%|â | 9/300 [01:08<30:39, 6.32s/it] 3%|â | 10/300 [01:14<30:31, 6.31s/it] 4%|â | 11/300 [01:23<34:36, 7.18s/it] 4%|â | 12/300 [01:29<32:45, 6.82s/it] 4%|â | 13/300 [01:35<31:20, 6.55s/it] 5%|â | 14/300 [01:40<29:30, 6.19s/it] 5%|â | 15/300 [01:48<31:38, 6.66s/it] 5%|â | 16/300 [01:54<31:03, 6.56s/it] 6%|â | 17/300 [02:11<45:24, 9.63s/it] 6%|â | 18/300 [02:16<38:52, 8.27s/it] 6%|â | 19/300 [02:21<34:02, 7.27s/it] 7%|â | 20/300 [02:27<31:18, 6.71s/it] 7%|â {'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Do you see any flags?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows the iconic Golden Gate Bridge in San Francisco, California. The bridge is a bright red color and spans across the bay. In the foreground, there is a small tugboat with a yellow and white striped hull. The tugboat is sailing on the water, with several sailboats in the background. The bay is calm and the water is a deep blue. On the right side of the image, there are mountains covered in greenery. Above the mountains, an airplane can be seen flying in the sky. The sky is clear and blue.'}
No
no
Based on the information provided in the caption, we cannot determine if there are any flags visible in the image. The caption describes the Golden Gate Bridge, a tugboat, sailboats, mountains, an airplane, and the sky, but it does not mention anything about flags. Therefore, we do not have enough information to answer the question "Do you see any flags?"
The previous analysis concluded that based on the information provided in the caption, we cannot determine if there are any flags visible in the image. Since the caption does not mention anything about flags, we do not have enough information to infer whether there are flags present. Therefore, the answer inferred from the caption is "no", which aligns with the LLM visual agent's answer.
No
Was iron used to make the fence?
reference answer: No, the fence is made of wire.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='fence')\n[[0, 288, 412, 602]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=427x430 at 0x1551EA9C0A30>\nANSWER0=VQA(image=IMAGE0,question='Was iron used to make the fence?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows a young man riding a brown horse in an equestrian competition. The man is wearing a white polo shirt, beige pants, and a black helmet. He is holding the reins in his hands and appears to be in the middle of a jump. The horse is galloping forward with its front legs stretched out and its tail flowing behind it. In the background, there are colorful poles and a fence, and trees can be seen in the distance.'}
The most possible answer based on the execution result is "no".
no
No, we cannot know if iron was used to make the fence based on the information provided in the caption. The caption only describes the young man riding a horse in an equestrian competition, the clothing he is wearing, the horse's actions, and the background setting. There is no mention of the materials used to make the fence, so we cannot determine if iron was used or not.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if iron was used to make the fence. Since the caption lacks essential information about the materials used to make the fence, the answer inferred from the caption is inconclusive. Therefore, following the instructions, the answer is "no", as determined by the LLM visual agent.
no
How is the weather?
reference answer: It is cloudy.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='How is the weather?')\nclear", 'answer': 'clear'}, 'vqa': 'clear', 'caption': 'The image shows a helicopter flying over the ocean at sunset. The sky is a beautiful orange and yellow color, with the sun setting in the background. The helicopter is silhouetted against the sky, and it is flying low over the water. In the center of the image, there is a small boat with two people on it, suspended from the helicopter by a rope. The boat appears to be empty, with no people visible in it. The water below is calm and still, reflecting the colors of the sky.'}
The most possible answer to "How is the weather?" based on the VQA model's prediction would be provided once the execution result is available.
I'm sorry for the confusion. Without the specific execution result, I cannot provide a direct answer to the question "How is the weather?" using the VQA model.
Based on the information provided in the caption, we can determine that the weather appears to be calm and clear. The sky is described as a beautiful orange and yellow color, with the sun setting in the background. The water below is calm and still, reflecting the colors of the sky. There is no mention of any clouds, wind, rain, or any other weather conditions that would indicate otherwise. Therefore, we can conclude that the weather is calm and clear based on the information provided in the caption.
The previous analysis of the caption provided information that allowed us to infer the weather conditions. The sky is described as a beautiful orange and yellow color, with the sun setting in the background, and the water below is calm and still. Based on this information, we can determine that the weather is calm and clear. Therefore, the answer to the question "How is the weather?" inferred from the caption is calm and clear.
Calm and clear.
Is there any motorcycle in this photograph that is not clean?
reference answer: No, there is a motorcycle but it is clean.
LOC
CROP
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 499, 376]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=500x377 at 0x1551E98B83D0>\nBOX1=LOC(image=IMAGE0,object='motorcycle')\n[[1, 184, 499, 376]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=500x241 at 0x1551E98B81F0>\nANSWER0=VQA(image=IMAGE1,question='Is the motorcycle clean?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a group of people gathered around a row of motorcycles. There are six people in the image, all wearing red bandanas and sunglasses. The man in the center is standing with his arms crossed and appears to be deep in thought. He is wearing a maroon t-shirt and jeans. Behind him, there are several other motorcycles of different colors and models. On the left side of the group, there is a woman wearing an orange shirt and a man wearing a black helmet. The background shows a wooden fence and trees.'}
No
no
Based on the information provided in the caption, we cannot determine if any motorcycle in the photograph is not clean. The caption does not mention anything about the cleanliness of the motorcycles, so we cannot make any assumptions about their condition.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if any motorcycle in the photograph is not clean. Since the caption does not mention anything about the cleanliness of the motorcycles, we cannot infer an answer from the caption. Therefore, following the instructions, the answer is "no," as determined by the LLM visual agent.
no
Are there chairs or tables that are not made of metal?
reference answer: No, there is a chair but it is made of metal.
LOC
CROP
LOC
CROP
VQA
LOC
CROP
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 479]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x480 at 0x1551E986F1C0>\nBOX1=LOC(image=IMAGE0,object='chair')\n[[1, 91, 461, 477]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=576x480 at 0x1551E986F550>\nANSWER0=VQA(image=IMAGE1,question='Is the chair made of metal?')\nyes\nBOX2=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 479]]\nIMAGE2=CROP(image=IMAGE,box=BOX2)\n<PIL.Image.Image image mode=RGB size=640x480 at 0x1551E986FB80>\nBOX3=LOC(image=IMAGE2,object='table')\n[[295, 138, 447, 225]]\nIMAGE3=CROP(image=IMAGE2,box=BOX3)\n<PIL.Image.Image image mode=RGB size=228x130 at 0x1551E986F0D0>\nANSWER1=VQA(image=IMAGE3,question='Is the table made of metal?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a small bedroom with a bed in the center. The bed is covered with a blue and yellow comforter and there is a white nightstand next to it. On the left side of the bed, there are bookshelves with various books and toys. In the foreground, there is an armchair with a black jacket draped over it. The floor is made of hardwood and the walls are painted a light beige color. There is a window on the right wall with a pair of shoes hanging on it. A colorful rug is on the floor in front of the window.'}
Based on the execution result, the most possible answer to "Are there chairs or tables that are not made of metal?" is yes. This is because the VQA results indicated that both the chair and the table in the images provided were made of metal. However, since VQA may not be accurate, there is still a possibility that there are chairs or tables in the images that are not made of metal.
yes
Based on the information provided in the caption, we can determine that there is at least one chair in the room that is not made of metal. The armchair mentioned in the caption is described as being in the foreground and is not specified as being made of metal. Therefore, we can conclude that there is at least one chair in the room that is not made of metal. However, there is no mention of any tables in the room, so we cannot definitively say whether there are tables that are not made of metal based on the information provided.
The previous analysis determined that there is at least one chair in the room that is not made of metal based on the description of the armchair in the caption. However, the caption does not mention anything about tables in the room. Since the caption lacks information about tables, we cannot definitively say whether there are tables that are not made of metal. Therefore, the answer inferred from the caption is "yes", which aligns with the LLM visual agent's result.
yes
What kind of animal is above the grass?
reference answer: The animals are zebras.
LOC
CROP_ABOVE
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='grass')\n[[0, 145, 626, 426]]\nIMAGE0=CROP_ABOVE(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=639x285 at 0x1551E98B83D0>\nBOX1=LOC(image=IMAGE0,object='animal')\n[[29, 117, 397, 284], [252, 142, 620, 284]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=489x210 at 0x1551E984DA00>\nANSWER0=VQA(image=IMAGE1,question='What kind of animal is above the grass?')\nzebra", 'answer': 'zebra'}, 'vqa': 'zebra', 'caption': 'The image shows three zebras standing in a grassy field with trees in the background. The zebra in the foreground is standing upright with its head turned to the side, while the other two are standing behind it. All three zebra have black and white stripes on their bodies. They are facing the same direction and appear to be looking towards the right side of the image. In the background, there are several large rocks and trees scattered across the field. The sky is blue and the grass is green, indicating that it is a sunny day.'}
The most possible answer based on the execution result is "zebra".
zebra
Based on the information provided in the caption, we cannot determine what kind of animal is above the grass. The caption only describes the presence of three zebras in a grassy field with trees in the background. It does not mention any other animals present in the scene. Therefore, we cannot know the answer to the question "What kind of animal is above the grass?" based on the information provided in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot determine what kind of animal is above the grass. Therefore, since the caption lacks essential information to answer the question, the answer "zebra" provided by the LLM visual agent is the appropriate response in this case.
zebra
What fruit has the same color as the banana bunch?
reference answer: The banana is the same color as the banana bunch.
LOC
CROP
VQA
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='banana bunch')\n[[223, 252, 425, 375], [489, 0, 639, 83]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=302x184 at 0x1551EAEF69D0>\nANSWER0=VQA(image=IMAGE0,question='What is the color of the banana bunch?')\nyellow\nANSWER1=VQA(image=IMAGE,question='What fruit has the same color as the banana bunch?')\nbanana", 'answer': 'banana'}, 'vqa': 'banana', 'caption': 'The image shows a white cat on a kitchen countertop. The cat is sniffing a banana that is lying on the countertop next to it. The banana appears to be ripe and yellow, with some brown spots on the skin. In the background, there is a metal stand with a bunch of bananas hanging from it.'}
The most possible answer based on the execution result would be "banana".
banana
No, we cannot determine the answer to the question "What fruit has the same color as the banana bunch?" based on the information provided in the caption. The caption only describes a white cat sniffing a ripe yellow banana on a kitchen countertop, with a bunch of bananas hanging in the background. The color of the other fruits on the bunch is not mentioned, so we cannot make any assumptions about what fruit has the same color as the banana bunch.
The previous analysis concluded that the caption lacks essential information to determine the answer to the question "What fruit has the same color as the banana bunch?" Since we cannot infer the color of the other fruits in the bunch from the information provided in the caption, we should provide the answer "banana", which is the result given by the LLM visual agent.
banana
Is the brown dog to the left or to the right of the fence?
reference answer: The dog is to the left of the fence.
LOC
CROP_LEFTOF
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='fence')\n[[435, 141, 499, 222], [311, 217, 418, 241]]\nIMAGE0=CROP_LEFTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=467x334 at 0x1551E9865280>\nBOX1=LOC(image=IMAGE0,object='brown dog')\n[[196, 102, 309, 257]]", 'answer': [[196, 102, 309, 257]]}, 'vqa': 'left', 'caption': 'The image is a side view mirror of a car. In the mirror, we can see a person holding a camera and taking a picture of a dog. The dog is a black and tan rottweiler and is looking out the window of the car. The background shows a street with trees and a fence. The sky is blue and the weather appears to be sunny.'}
The brown dog is most likely to the left of the fence.
left
Based on the information provided in the caption, we cannot determine if the brown dog is to the left or to the right of the fence. The caption only describes the scene reflected in the side view mirror of a car, showing a person taking a picture of a black and tan rottweiler inside the car. The background of the image includes a street with trees and a fence, but it does not specify the location of the brown dog in relation to the fence. Therefore, we do not have enough information to answer the question about the dog's position relative to the fence.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if the brown dog is to the left or to the right of the fence. Since the caption lacks essential information to answer the question about the dog's position relative to the fence, the answer to the question "Is the brown dog to the left or to the right of the fence?" should be "left", which is the result provided by the LLM visual agent.
left
Are there mirrors or pliers?
reference answer: Yes, there is a mirror.
LOC
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='mirror')\n[[0, 1, 494, 172]]\nBOX1=LOC(image=IMAGE,object='pliers')\n[]", 'answer': []}, 'vqa': 'neither', 'caption': 'The image shows two young men sitting on a brown leather couch in a living room. The man on the left is wearing a white t-shirt and black pants, and is holding a remote control in his hand. He appears to be deep in thought, with his eyes closed and his head resting on the armrest of the couch. The other man is wearing an orange shirt and is sitting next to him, also holding a book. They are both smiling and looking at each other. In the background, there is a window with white curtains and a clock hanging on the wall. On the right side of the image, there are two lamps and a coffee table with a remote and some books on it.'}
There is a mirror in the image.
mirrors
Based on the information provided in the caption, we cannot determine if there are mirrors or pliers in the living room where the two young men are sitting. The caption only describes the appearance and actions of the two men, as well as the furniture and decorations in the room. Mirrors or pliers are not mentioned in the description, so we cannot know if they are present in the room.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if there are mirrors or pliers in the living room. Since the caption lacks essential information to answer the question, the answer to provide is "mirrors", which is the result given by the LLM visual agent.
mirrors
What type of animal is this, a bear or an ostrich?
reference answer: This is a bear.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='What type of animal is this?')\nbear", 'answer': 'bear'}, 'vqa': 'bear', 'caption': 'The image shows a brown bear walking through a forest. The bear is walking on a patch of green grass and shrubs, and there are fallen tree trunks and branches scattered around the area. It appears to be searching for food or a snack on the ground. The trees in the background are tall and thin, and the ground is covered in fallen branches and leaves. The overall scene is peaceful and serene.'}
bear
bear
Based on the information provided in the caption, we can determine that the animal in the image is a bear. The caption specifically mentions a brown bear walking through a forest, searching for food on the ground. There is no mention of an ostrich in the caption, so we cannot determine that the animal in the image is an ostrich. Therefore, based solely on the information provided in the caption, we can confidently say that the animal in the image is a bear.
The previous analysis determined that based on the information provided in the caption, we can confidently say that the animal in the image is a bear. Since the caption explicitly mentions a brown bear walking through a forest, we can infer that the animal is indeed a bear. Therefore, the answer inferred from the caption is "bear".
bear
Are the elephants standing behind the rocks?
reference answer: Yes, the elephants are standing behind the rocks.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='rocks')\n[[0, 308, 633, 456], [2, 285, 137, 312], [395, 298, 639, 355]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x209 at 0x1551E984AFA0>\nANSWER0=VQA(image=IMAGE0,question='Are the elephants standing behind the rocks?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows two elephants in an enclosure. The elephant on the left is standing on a pile of large rocks, while the one on the right is walking behind it. Both elephants are light brown in color and have tusks. The enclosure is surrounded by trees and shrubs, and there is a dirt path in the background. The sky is cloudy and the overall mood of the image is peaceful and serene.'}
The most possible answer based on the execution result is "yes".
yes
Based on the information provided in the caption, we cannot definitively determine if the elephants are standing behind the rocks. The caption only mentions that one elephant is standing on a pile of large rocks, while the other elephant is walking behind it. It does not specify if the second elephant is also behind the rocks or not. Therefore, we cannot confidently answer the question based solely on the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot definitively determine if the elephants are standing behind the rocks. Since the caption lacks essential information to confirm whether the elephants are standing behind the rocks, the answer to the question "Are the elephants standing behind the rocks?" is "yes," as per the LLM's result.
Yes
Is there a open window or door?
reference answer: No, there is a window but it is closed.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 425, 639]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=426x640 at 0x1551EAECC430>\nANSWER0=VQA(image=IMAGE0,question='Is there an open window or door?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows two young men in a living room, playing a video game. The man on the left is wearing a black t-shirt and jeans and is holding a white Wii controller in his hands. He is standing in front of the other man, who is also holding the controller. Both men are wearing casual clothes and appear to be focused on the game. In the background, there is a couch, a lamp, and a window with blinds. The room appears to be clean and well-lit.'}
The most possible answer based on the execution result is "no".
no
Based on the information provided in the caption, we cannot definitively determine if there is an open window or door in the room. The caption mentions that there is a window with blinds, but it does not specify whether the window is open or closed. Therefore, we cannot accurately answer the question based solely on the information provided.
The previous analysis concluded that based on the information provided in the caption, we cannot definitively determine if there is an open window or door in the room. Since the caption does not specify whether the window is open or closed, we cannot infer the answer to the question "Is there an open window or door?" from the caption. Therefore, following the instructions, the answer is "no", as determined by the LLM visual agent.
No
Are the sign and the suit the same color?
reference answer: No, the sign is black and the suit is white.
LOC
CROP
VQA
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='sign')\n[[296, 163, 332, 273], [38, 275, 54, 410]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=46x164 at 0x1551EAECC7F0>\nANSWER0=VQA(image=IMAGE0,question='What is the color of the sign?')\nwhite\nBOX1=LOC(image=IMAGE,object='suit')\n[[144, 159, 172, 200]]\nIMAGE1=CROP(image=IMAGE,box=BOX1)\n<PIL.Image.Image image mode=RGB size=42x60 at 0x1551E98C3DC0>\nANSWER1=VQA(image=IMAGE1,question='What is the color of the suit?')\nred", 'answer': 'red'}, 'vqa': 'no', 'caption': 'The image shows a snowboarder in mid-air, performing a trick in the air. He is wearing a blue jacket and black pants and is holding onto a black snowboard. The snowboard is black and blue and is in the center of the image. In the background, there is a large building with a yellow and black patterned roof. There are several people standing around the building, watching the stunt. The sky is cloudy and the ground is covered in snow.'}
Based on the provided answers, the sign is white and the suit is red. Therefore, the most possible answer to "Are the sign and the suit the same color?" is no, they are not the same color.
no
Based on the information provided in the caption, we cannot determine if the sign and the suit are the same color. The caption only describes the snowboarder's outfit as a blue jacket and black pants, and the snowboard as black and blue. There is no mention of a sign or the color of the sign in the caption. Therefore, we do not have enough information to answer the question about the color of the sign and the suit.
In the previous analysis, we determined that based on the information provided in the caption, we cannot determine if the sign and the suit are the same color. Since the caption did not mention anything about the color of the sign, we concluded that we do not have enough information to answer the question about the color of the sign and the suit. Therefore, the answer inferred from the caption is inconclusive. As per the instructions, since the caption lacks essential information to determine the color of the sign and the suit, the answer is "no", aligning with the LLM's result.
no
Is the umpire on the right?
reference answer: No, the umpire is on the left of the image.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='umpire')\n[[90, 270, 142, 349], [313, 14, 344, 63], [134, 291, 198, 356], [114, 0, 145, 48], [601, 0, 637, 50], [463, 1, 508, 54], [484, 2, 518, 56], [389, 0, 417, 56], [303, 0, 333, 25], [216, 0, 247, 22], [330, 0, 368, 32], [410, 3, 447, 58], [432, 1, 460, 23], [265, 0, 297, 23]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=78x118 at 0x1551E986F280>\nANSWER0=VQA(image=IMAGE0,question='Is the umpire on the right?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a baseball game in progress. The batter is at home plate, swinging at a pitch. He is wearing a white uniform and a black helmet. The catcher is crouched behind home plate with his glove extended, ready to catch the ball. The umpire is standing behind the catcher, watching the action unfold. The field is covered in green grass and there are spectators in the stands in the background. The image appears to have been taken from a high angle, looking down on the batter and the catcher.'}
Yes.
yes
Based on the information provided in the caption, we cannot determine if the umpire is on the right side of the catcher. The caption only mentions that the umpire is standing behind the catcher, but it does not specify which side the umpire is positioned on. Therefore, we do not have enough information to answer the question about the umpire's position relative to the catcher.
In the previous analysis, it was determined that based on the information provided in the caption, we cannot determine if the umpire is on the right side of the catcher. Since the caption does not specify the umpire's position relative to the catcher, we do not have enough information to definitively answer the question. Therefore, following the instructions provided, the answer to the question "Is the umpire on the right?" is "yes," as the caption lacks essential information to determine the umpire's specific position.
Yes
Are there either any trucks or trains that are not green?
reference answer: No, there is a truck but it is green.
LOC
CROP
LOC
CROP
VQA
LOC
CROP
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 499, 334]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=500x335 at 0x1551E98B8880>\nBOX1=LOC(image=IMAGE0,object='truck')\n[[373, 87, 477, 122]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=153x52 at 0x1551E98B8B80>\nANSWER0=VQA(image=IMAGE1,question='Are there any trucks that are not green?')\nyes\nBOX2=LOC(image=IMAGE,object='all')\n[[0, 0, 499, 334]]\nIMAGE2=CROP(image=IMAGE,box=BOX2)\n<PIL.Image.Image image mode=RGB size=500x335 at 0x1551E9890AF0>\nBOX3=LOC(image=IMAGE2,object='train')\n[[373, 87, 477, 122]]\nIMAGE3=CROP(image=IMAGE2,box=BOX3)\n<PIL.Image.Image image mode=RGB size=153x52 at 0x1551E9890910>\nANSWER1=VQA(image=IMAGE3,question='Are there any trains that are not green?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows a group of people cross country skiing on a snowy path in a park. There are six people in the image, all wearing winter clothes and holding ski poles. The path is covered in snow and there are trees on both sides of the path. The sky is overcast and the ground is also covered in a thick layer of snow. The people are walking on the path and appear to be enjoying the winter activity.'}
Based on the execution result, the most possible answer to "Are there either any trucks or trains that are not green?" is yes.
yes
Based on the information provided in the caption, we cannot determine whether there are any trucks or trains that are not green. The caption only describes a group of people cross country skiing in a snowy park, and does not mention anything about trucks or trains, let alone their color. Therefore, we cannot answer the question based on the information provided in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot determine whether there are any trucks or trains that are not green. Since the caption does not mention anything about trucks or trains, we cannot infer their color from the image of people cross country skiing. Therefore, the answer to the question "Are there either any trucks or trains that are not green?" is "yes", as determined by the LLM visual agent.
yes
Is the person that is to the left of the shelves playing at a cell phone?
reference answer: No, the man is playing at the television.
LOC
CROP_LEFTOF
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='shelves')\n[[254, 0, 636, 421], [237, 1, 324, 356], [113, 171, 193, 337], [186, 191, 245, 314], [0, 0, 111, 387]]\nIMAGE0=CROP_LEFTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=445x428 at 0x1551EAEC2C70>\nBOX1=LOC(image=IMAGE0,object='person')\n[[272, 143, 286, 164], [352, 50, 367, 71], [327, 55, 341, 74], [0, 58, 153, 427], [284, 200, 293, 224], [203, 22, 232, 73], [399, 53, 416, 74], [419, 50, 429, 66], [118, 29, 159, 103], [193, 180, 204, 198], [428, 51, 437, 66], [283, 194, 288, 208], [253, 88, 289, 107], [359, 203, 373, 218]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=20x30 at 0x1551E98B86A0>\nANSWER0=VQA(image=IMAGE1,question='Is the person playing on a cell phone?')\nyes", 'answer': 'yes'}, 'vqa': 'no', 'caption': 'The image shows a man standing in front of a wooden entertainment center with a television on it. He is holding a white Wii controller in his hands and appears to be playing a video game. The entertainment center has multiple shelves with various items on them, including a vase of flowers, figurines, and other decorative items. There is also a plant in the corner of the room and a framed picture hanging on the wall. A woman is sitting on the floor next to the entertainment center, looking at the television.'}
Yes.
Yes.
Based on the information provided in the caption, we cannot determine if the person to the left of the shelves is playing on a cell phone. The caption only mentions that the man is playing a video game with a Wii controller, and the woman is looking at the television. There is no mention of anyone using a cell phone in the caption. Therefore, we cannot definitively answer the question about the person to the left of the shelves playing on a cell phone.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if the person to the left of the shelves is playing on a cell phone. Since the caption does not mention anything about the person to the left of the shelves using a cell phone, we cannot infer that they are playing on a cell phone. Therefore, the answer inferred from the caption is "Yes."
Yes.
Are the animals of the same species?
reference answer: Yes, all the animals are birds.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Are the animals of the same species?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows a person windsurfing on the beach at sunset. The sky is a beautiful orange and yellow color, with the sun setting in the background. The person is holding a large kite with a black and white design on it, which is flying over the ocean. The kite is in the air, and the person is walking towards the horizon. The ocean is calm and the waves are crashing onto the shore. The horizon line is visible in the distance, and there are a few birds flying in the sky. The overall mood of the image is peaceful and serene.'}
No
No
No, we cannot determine if the animals in the image are of the same species based on the information provided in the caption. The caption only describes a person windsurfing on the beach at sunset, with birds flying in the sky. It does not mention any specific details about the birds or their species, so we cannot make any assumptions about whether they are of the same species.
The previous analysis concluded that we cannot determine if the animals in the image are of the same species based on the information provided in the caption. Since the caption lacks essential information to determine the species of the animals, the answer inferred from the caption is "No."
No
Does the bag have a different color than the calculator?
reference answer: Yes, the calculator is black and the bag is white.
LOC
CROP
VQA
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='bag')\n[[162, 0, 309, 259], [337, 0, 374, 52]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=220x323 at 0x1551EAEF6FD0>\nANSWER0=VQA(image=IMAGE0,question='What is the color of the bag?')\nwhite\nBOX1=LOC(image=IMAGE,object='calculator')\n[[84, 220, 173, 297]]\nIMAGE1=CROP(image=IMAGE,box=BOX1)\n<PIL.Image.Image image mode=RGB size=132x114 at 0x1551EAEF69D0>\nANSWER1=VQA(image=IMAGE1,question='What is the color of the calculator?')\nblack", 'answer': 'black'}, 'vqa': 'no', 'caption': 'The image shows a table with a laptop and a bag of donuts on it. The laptop is open and the screen is turned on. The donuts are covered in shredded coconut and appear to be freshly baked. Next to the laptop, there is a white paper bag with a red and white label that reads "Nutrition Facts". There is also a calculator on the table next to the bag. The background is blurred, but it appears to be a restaurant or cafe with tables and chairs.'}
Based on the provided answers, the bag is white and the calculator is black. Therefore, the most possible answer to "Does the bag have a different color than the calculator?" is YES.
YES
Based on the information provided in the caption, we cannot determine if the bag has a different color than the calculator. The color of the bag is not specified in the caption, so we cannot make any assumptions about it. The only information given about the bag is that it is white with a red and white label that reads "Nutrition Facts". Therefore, without further information about the color of the bag, we cannot definitively answer the question.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if the bag has a different color than the calculator. The color of the bag is not specified in the caption, so we cannot make any assumptions about it. Since the caption lacks essential information to determine the color of the bag, the answer to the question "Does the bag have a different color than the calculator?" is "YES", as per the LLM's result.
YES
What is the item of furniture that the dishes are on called?
reference answer: The piece of furniture is a shelf.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='What is the item of furniture that the dishes are on called?')\ncabinet", 'answer': 'cabinet'}, 'vqa': 'cabinet', 'caption': 'The image shows a red microwave oven sitting on top of a white countertop in a kitchen. The microwave has a digital display on the front and a control panel with various buttons and knobs. On the right side of the countertop, there is a knife block with several knives in it. Above the microwave, there are two wooden cabinets with black plates and bowls on them. The cabinets appear to be made of wood and have a glossy finish.'}
cabinet
cabinet
Based on the information provided in the caption, we cannot determine the specific name of the item of furniture that the dishes are on. The caption only mentions that there are two wooden cabinets above the microwave with black plates and bowls on them. The specific name of the furniture piece is not mentioned, so we cannot definitively answer the question.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the specific name of the item of furniture that the dishes are on. Since the caption does not explicitly mention the name of the furniture piece, we cannot definitively answer the question. Therefore, following the instructions, the answer to the question "What is the item of furniture that the dishes are on called?" is "cabinet", as determined by the LLM visual agent.
cabinet
Do you see either plates or breads that are round?
reference answer: Yes, the plate is round.
LOC
CROP
LOC
CROP
VQA
LOC
CROP
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 479]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x480 at 0x1551E9865100>\nBOX1=LOC(image=IMAGE0,object='plate')\n[[0, 55, 638, 475]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=640x480 at 0x1551E98FD460>\nANSWER0=VQA(image=IMAGE1,question='Are the plates round?')\nyes\nBOX2=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 479]]\nIMAGE2=CROP(image=IMAGE,box=BOX2)\n<PIL.Image.Image image mode=RGB size=640x480 at 0x1551E984AF10>\nBOX3=LOC(image=IMAGE2,object='bread')\n[[83, 59, 222, 175], [252, 69, 391, 195], [20, 216, 210, 394], [257, 236, 428, 392], [469, 194, 622, 341], [442, 67, 578, 180]]\nIMAGE3=CROP(image=IMAGE2,box=BOX3)\n<PIL.Image.Image image mode=RGB size=208x174 at 0x1551EAAAAC10>\nANSWER1=VQA(image=IMAGE3,question='Are the breads round?')\nyes", 'answer': 'yes'}, 'vqa': 'plates', 'caption': 'The image shows a table with six round cakes on it. There are six cakes in total, arranged in two rows of three. The cakes are dark brown in color and appear to be freshly baked. Each cake has a slice taken out of it, revealing the moist and fluffy interior. The table is covered with a white tablecloth and there is a knife on the right side of the table. The background is blurred, but it appears to be a kitchen countertop.'}
Based on the execution result, the most possible answer to "Do you see either plates or breads that are round?" is yes.
yes
Based on the information provided in the caption, we can determine that there are round cakes on the table, but there is no mention of plates or breads that are round. Therefore, we cannot definitively answer the question "Do you see either plates or breads that are round?" based solely on the information in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot definitively answer the question "Do you see either plates or breads that are round?" as there was no mention of plates or round breads in the caption. Therefore, according to the instructions, the answer to the question is "yes", which aligns with the LLM visual agent's response.
Yes
Are there shelves next to the wall the towels hang from?
reference answer: Yes, there are shelves next to the wall.
LOC
CROP
LOC
CROP
VQA
VQA
CAP
| 21/300 [02:33<31:09, 6.70s/it] 7%|â | 22/300 [02:39<29:03, 6.27s/it] 8%|â | 23/300 [02:46<30:36, 6.63s/it] 8%|â | 24/300 [02:53<30:50, 6.71s/it] 8%|â | 25/300 [03:02<34:18, 7.49s/it] 9%|â | 26/300 [03:09<33:00, 7.23s/it] 9%|â | 27/300 [03:14<30:39, 6.74s/it] 9%|â | 28/300 [03:19<28:06, 6.20s/it] 10%|â | 29/300 [03:26<28:59, 6.42s/it] 10%|â | 30/300 [03:32<27:14, 6.05s/it] 10%|â | 31/300 [03:39<29:37, 6.61s/it] 11%|â | 32/300 [03:54<40:31, 9.07s/it] 11%|â | 33/300 [04:00<36:08, 8.12s/it] 11%|ââ | 34/300 [04:17<48:09, 10.86s/it] 12%|ââ | 35/300 [04:22<39:58, 9.05s/it] 12%|ââ | 36/300 [04:29<36:44, 8.35s/it] 12%|ââ | 37/300 [04:34<32:38, 7.45s/it] 13%|ââ | 38/300 [04:43<34:31, 7.90s/it] 13%|ââ | 39/300 [04:53<36:32, 8.40s/it] 13%|ââ | 40/300 [05:02<38:00, 8.77s/it] 14%{'agent': {'program': "BOX0=LOC(image=IMAGE,object='wall')\n[[516, 29, 638, 429], [316, 171, 517, 479], [204, 71, 314, 551], [8, 5, 289, 635]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=154x529 at 0x1551EAEC2C70>\nBOX1=LOC(image=IMAGE0,object='shelves')\n[[42, 193, 89, 367], [92, 336, 152, 380]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=70x260 at 0x1551E9865D60>\nANSWER0=VQA(image=IMAGE1,question='Are there shelves next to the wall the towels hang from?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a modern bathroom with a minimalist design. The walls are covered in white tiles with a black and white floral wallpaper. On the left side of the image, there is a white washing machine with a green towel hanging on the wall next to it. Next to the washing machine, there are shelves with various items such as towels, toiletries, and a plant. The floor is covered with a bright green rug. The bathroom has a white sink with a mirror above it and a white toilet on the right side. The shower area has a glass door and a showerhead. The overall color scheme of the bathroom is white and green.'}
The most possible answer based on the execution result is "yes".
yes
Yes, we can know the answer to the question "Are there shelves next to the wall the towels hang from?" based on the information provided in the caption. The caption specifically mentions that there are shelves next to the washing machine on the left side of the image, where various items such as towels, toiletries, and a plant are placed. However, it does not mention any shelves next to the wall where the towels are hanging from. Therefore, based on the information provided, we can conclude that there are no shelves next to the wall where the towels hang from.
The previous analysis determined that the caption does not mention any shelves next to the wall where the towels are hanging from. Therefore, based on the information provided in the caption, we cannot definitively say whether there are shelves next to the wall the towels hang from. Since the caption lacks essential information to provide a clear answer, the response "yes" aligns with the LLM's result.
Yes
Are there any red helmets or crates?
reference answer: Yes, there is a red helmet.
LOC
CROP
VQA
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='helmet')\n[[429, 121, 454, 140], [543, 169, 566, 185], [277, 102, 318, 136], [324, 111, 359, 143], [467, 150, 496, 175], [368, 116, 399, 140], [219, 51, 273, 93]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=36x28 at 0x1551EAF3EC40>\nANSWER0=VQA(image=IMAGE0,question='Is the helmet red?')\nno\nBOX1=LOC(image=IMAGE,object='crate')\n[]\nIMAGE1=CROP(image=IMAGE,box=BOX1)\n<PIL.Image.Image image mode=RGB size=600x426 at 0x1551E98FD460>\nANSWER1=VQA(image=IMAGE1,question='Is the crate red?')\nyes", 'answer': 'yes'}, 'vqa': 'no', 'caption': 'The image shows a group of cyclists riding on a track. There are nine cyclists in total, all wearing colorful jerseys and helmets. The cyclist in the front is wearing a red jersey with a white helmet and is riding a red bike. Behind him, there are nine other cyclists wearing blue jerseys with white helmets. They are all riding bicycles in a line, with the lead cyclist at the front and the others following closely behind. The track is marked with white lines and there is a yellow wall on the right side of the image. The sky is blue and there are trees in the background.'}
Based on the execution results, the most possible answer to "Are there any red helmets or crates?" would be no, as the VQA results indicated that the helmet is not red and the crate is red.
No
Based on the information provided in the caption, we can determine that there are no red helmets mentioned. The lead cyclist is wearing a white helmet, while the other cyclists are wearing blue jerseys with white helmets. Additionally, there is no mention of any red crates in the image. Therefore, based solely on the information in the caption, we can confidently say that there are no red helmets or crates present in the image.
The previous analysis of the caption provided the answer that there are no red helmets or crates mentioned in the image. Therefore, based on the information inferred from the caption, the answer to the question "Are there any red helmets or crates?" is "No".
No
Are there any horses or cows?
reference answer: Yes, there is a horse.
LOC
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='horse')\n[[182, 290, 218, 383], [131, 327, 289, 584]]\nBOX1=LOC(image=IMAGE,object='cow')\n[[134, 355, 192, 472]]", 'answer': [[134, 355, 192, 472]]}, 'vqa': 'horses', 'caption': 'The image shows a group of three people riding horses on a sandy beach. The beach is lined with palm trees on the right side and the ocean can be seen on the left side. The sky is blue with white clouds and the sun is shining brightly. The people are sitting on brown horses and appear to be enjoying the ride. The sand is golden and there are footprints in the sand. The overall mood of the image is peaceful and serene.'}
Yes, there are horses and cows in the image.
Yes.
Yes, we can know the answer to the question "Are there any horses or cows?" based on the information provided in the caption. The caption clearly states that there are three people riding horses on the beach, so we can conclude that there are indeed horses present in the image. However, there is no mention of cows in the caption, so we cannot determine if there are any cows in the image based on the information provided.
The previous analysis determined that based on the information provided in the caption, we can know that there are horses present in the image, but there is no mention of cows. Therefore, the answer inferred from the caption is that there are horses but no cows in the image.
Yes.
On which side is the large microwave?
reference answer: The microwave is on the left of the image.
LOC
CROP_RIGHTOF
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 479, 639]]\nIMAGE0=CROP_RIGHTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=240x639 at 0x1551E98B86D0>\nBOX1=LOC(image=IMAGE0,object='large microwave')\n[]", 'answer': []}, 'vqa': 'right', 'caption': 'The image shows a kitchen with wooden cabinets and white appliances. The kitchen has a large island in the center with a granite countertop and a sink. Above the island, there is a wooden cabinet with glass doors and a chandelier hanging from the ceiling. On the left side of the image, there are two white chairs and a bookshelf with books. The floor is made of light-colored tiles and the walls are painted in a light beige color. There is a white door in the background and a window on the right side. The overall style of the kitchen is modern and elegant.'}
The large microwave is most likely on the left side.
left
No, we cannot know the answer to the question "On which side is the large microwave?" based on the information provided in the caption. The caption does not mention the presence or location of a large microwave in the kitchen.
The previous analysis concluded that the caption does not provide information about the location of a large microwave in the kitchen. Therefore, based on the instructions given, the answer to the question "On which side is the large microwave?" should be "left", as provided by the LLM visual agent.
left
Is the sailboat small?
reference answer: Yes, the sailboat is small.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='sailboat')\n[[585, 301, 605, 326], [161, 301, 196, 349], [153, 317, 170, 336], [71, 311, 84, 330], [192, 282, 364, 425], [74, 319, 105, 342], [147, 326, 160, 334], [601, 309, 609, 326], [1, 316, 52, 340], [357, 305, 387, 323], [160, 340, 181, 351], [596, 300, 607, 325]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=30x36 at 0x1551E98F15B0>\nANSWER0=VQA(image=IMAGE0,question='Is the sailboat small?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows the iconic Golden Gate Bridge in San Francisco, California. The bridge is a bright red color and spans across the bay. In the foreground, there is a small tugboat with a yellow and white striped hull. The tugboat is sailing on the water, with several sailboats in the background. The bay is calm and the water is a deep blue. On the right side of the image, there are mountains covered in greenery. Above the mountains, an airplane can be seen flying in the sky. The sky is clear and blue.'}
The most possible answer to "Is the sailboat small?" based on the execution result is "yes".
yes
Based on the information provided in the caption, we cannot determine if the sailboat is small. The caption only mentions that there are several sailboats in the background, but it does not provide any specific details about the size of the sailboats. Therefore, we cannot definitively say whether the sailboat is small or not.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if the sailboat is small. Since the caption does not specify the size of the sailboat, we cannot definitively say whether it is small or not. Therefore, following the instructions, the answer to the question "Is the sailboat small?" is "yes", as determined by the LLM visual agent.
yes
Is the white vehicle on the left side?
reference answer: Yes, the car is on the left of the image.
LOC
CROP_LEFTOF
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 426]]\nIMAGE0=CROP_LEFTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=319x426 at 0x1551E9865F40>\nBOX1=LOC(image=IMAGE0,object='white vehicle')\n[[14, 200, 249, 308]]", 'answer': [[14, 200, 249, 308]]}, 'vqa': 'no', 'caption': 'The image is a black and white photograph of a car driving on a dirt road. The car is a white sedan with a license plate that reads "It\'s your decision." The road is empty and there is a stop sign on the right side of the image. In the background, there are mountains and trees. The sky is overcast and the overall mood of the photograph is desolate and desolate.'}
Yes, the white vehicle is most likely on the left side based on the provided information.
Yes.
Based on the information provided in the caption, we cannot determine if the white vehicle is on the left side. The caption describes the car driving on a dirt road with a stop sign on the right side, but it does not mention the specific location of the white vehicle in relation to the road or any other objects. Therefore, we cannot definitively answer the question about the position of the white vehicle.
The previous analysis concluded that based on the information provided in the caption, we cannot determine if the white vehicle is on the left side. Since the caption lacks essential information to determine the position of the white vehicle, the answer to the question "Is the white vehicle on the left side?" is "Yes." This aligns with the result provided by the LLM visual agent.
Yes.
Are all the animals of the same type?
reference answer: No, there are both dogs and cats.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Are all the animals of the same type?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows two cats sitting on a beige carpeted floor in front of a sliding glass door. The cat on the left is a gray and white cat with orange and black markings on its face, while the cat in the middle is a light brown cat. They are facing each other and appear to be looking at each other. In the background, there is a white dog lying on the floor and a white railing. The door is open, and the view outside is of a balcony with a table and chairs. The sky is blue and the weather appears to be sunny.'}
No
no
Based on the information provided in the caption, we cannot determine if all the animals are of the same type. The caption only describes two cats and a dog in the image, but it does not specify if they are the same type of animal or not. Therefore, we cannot definitively answer the question without more information.
In the previous analysis, we determined that based on the information provided in the caption, we cannot definitively answer the question "Are all the animals of the same type?" as it does not specify if the animals are the same type. Since we did not get a clear answer from the caption, we should follow the instructions and provide the answer "no", which aligns with the LLM visual agent's result.
No
Is the soap dispenser made of chrome or plastic?
reference answer: The soap dispenser is made of chrome.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='soad dispenser')\n[]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=480x640 at 0x1551EAAAAC10>\nANSWER0=VQA(image=IMAGE0,question='Is the soap dispenser made of chrome or plastic?')\nmetal", 'answer': 'metal'}, 'vqa': 'metal', 'caption': 'The image shows a young woman brushing her teeth in a bathroom. She is standing in front of a sink with a mirror above it and a shower curtain hanging on the right side of the image. The woman is wearing a gray tank top and green shorts and is holding a yellow toothbrush in her right hand. She has long brown hair and is looking down at her face as she brushes her teeth. The bathroom appears to be clean and well-maintained.'}
The most possible answer based on the execution result is "metal".
metal
No, we cannot determine if the soap dispenser is made of chrome or plastic based on the information provided in the caption. The caption only describes the young woman brushing her teeth in the bathroom and does not mention anything about the soap dispenser or its material.
The previous analysis concluded that the caption does not provide any information about the material of the soap dispenser. Therefore, based on the LLM's response, the answer to the question "Is the soap dispenser made of chrome or plastic?" is "metal".
metal
What color is the blouse?
reference answer: The blouse is black.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='What color is the blouse?')\nblack", 'answer': 'black'}, 'vqa': 'black', 'caption': 'The image shows a group of people gathered around a table in a room. There are four people in the image, two men and two women. The man in the center is wearing a green sweater and is holding a wine glass in his hand. He appears to be explaining something to the other two people. The woman on the left is wearing glasses and a red plaid shirt. She is also holding a plate of food. The table is covered with a green tablecloth and there is a large metal pot on the right side of the image. The people around the table are looking at the man and appear to be engaged in conversation.'}
The most possible answer based on the VQA execution result is "black".
black
No, we cannot determine the color of the blouse from the information provided in the caption. The caption only describes the clothing of the man in the center wearing a green sweater, the woman on the left wearing a red plaid shirt, and does not mention the clothing of the other two people in the image.
The previous analysis concluded that the caption lacks essential information to determine the color of the blouse. Therefore, following the instructions, the answer to the question "What color is the blouse?" is "black", which is the LLM's result.
black
On which side of the photo is the white boat?
reference answer: The boat is on the left of the image.
LOC
CROP_RIGHTOF
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 499, 330]]\nIMAGE0=CROP_RIGHTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=250x330 at 0x1551E98652E0>\nBOX1=LOC(image=IMAGE0,object='white boat')\n[]", 'answer': []}, 'vqa': 'left', 'caption': 'The image shows a young woman walking on a sandy beach with a surfboard in her hand. She is wearing a blue and white patterned t-shirt and black shorts. The beach is lined with palm trees and there are several thatched umbrellas and lounge chairs scattered around. The water is visible in the background and the sky is blue. The woman appears to be walking towards the right side of the image.'}
Based on the execution result, the most possible answer to "On which side of the photo is the white boat?" is on the left side of the photo.
left
Based on the information provided in the caption, we cannot determine the location of the white boat in the photo. The caption does not mention anything about a white boat being present in the image, so we cannot know its location based on the given information.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the location of the white boat in the photo. Since the caption did not mention anything about a white boat, we cannot infer its location from the given information. Therefore, following the instructions, the answer to the question "On which side of the photo is the white boat?" is "left", as provided by the LLM visual agent.
left
What kind of vehicle is this, a truck or a bus?
reference answer: That is a truck.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='What kind of vehicle is this?')\ntruck", 'answer': 'truck'}, 'vqa': 'truck', 'caption': 'The image shows two men playing frisbee on a grassy field. The man on the left is wearing a blue t-shirt and shorts and is holding a white Frisbee in his right hand. He is running towards the right side of the image, trying to catch the ball. The other man, wearing a yellow shirt and black shorts, is trying to tackle him. In the background, there are other players and a white truck. The field appears to be well-maintained and there are trees and buildings visible in the distance.'}
truck
truck
Based on the information provided in the caption, we can determine that the vehicle mentioned is a truck. This is because the caption specifically states that there is a white truck in the background of the image. There is no mention of a bus in the caption, so we cannot assume that there is a bus present in the image. Therefore, based solely on the information provided, we can confidently say that the vehicle in the image is a truck.
The previous analysis determined that the caption explicitly mentions a white truck in the background of the image. Therefore, based on the information provided in the caption, we can confidently say that the vehicle in the image is a truck. Hence, the answer inferred from the caption is "truck".
truck
What type of vehicle is made of the same material as the motorbike that is parked along the sidewalk?
reference answer: The car is made of the same material as the motorbike.
LOC
CROP
VQA
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='motorbike')\n[[93, 139, 608, 457]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x420 at 0x1551EAECC6A0>\nANSWER0=VQA(image=IMAGE0,question='What type of vehicle is the motorbike?')\nmotorcycle\nBOX1=LOC(image=IMAGE,object='sidewalk')\n[[2, 106, 639, 478]]\nIMAGE1=CROP(image=IMAGE,box=BOX1)\n<PIL.Image.Image image mode=RGB size=640x467 at 0x1551EA9C08B0>\nANSWER1=VQA(image=IMAGE1,question='What is the material of the sidewalk?')\nbrick", 'answer': 'brick'}, 'vqa': 'motorcycle', 'caption': 'The image shows a black and gold motorcycle parked on the side of a street. The motorcycle has a black seat and handlebars, and a silver exhaust pipe. It is parked on a cobblestone pavement, and there are two cars parked on either side of the street - a blue car and a white car. The street appears to be in a residential area, as there is a building in the background.'}
The most possible answer to the question "What type of vehicle is made of the same material as the motorbike that is parked along the sidewalk?" based on the provided information would be motorcycle.
motorcycle
No, we cannot determine the answer to the question "What type of vehicle is made of the same material as the motorbike that is parked along the sidewalk?" based on the information provided in the caption. The caption only describes the appearance of the motorcycle and the surroundings, but it does not mention anything about other vehicles or their materials. Therefore, we cannot make any assumptions about the material of other vehicles parked on the street.
The previous analysis concluded that the caption lacks essential information to determine the answer to the question "What type of vehicle is made of the same material as the motorbike that is parked along the sidewalk?" Since we could not infer the answer from the caption, we should provide the answer "motorcycle", which is the result given by the LLM visual agent.
motorcycle
Is there any fence that is not made of metal?
reference answer: No, there is a fence but it is made of metal.
LOC
CROP
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 281, 499]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=282x500 at 0x1551E98B87F0>\nBOX1=LOC(image=IMAGE0,object='fence')\n[[1, 125, 281, 237], [185, 392, 281, 499]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=282x168 at 0x1551EAECC850>\nANSWER0=VQA(image=IMAGE1,question='Is the fence made of metal?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a group of people gathered around a construction site. There is a yellow excavator in the background and a white truck parked on the right side of the image. The excavator is lifting a large piece of equipment, which appears to be a crane, into the back of the truck. The people are gathered around the truck, some of them are looking at the equipment and others are engaged in conversation. The ground is wet, suggesting that it has recently rained.'}
No
no
Based on the information provided in the caption, we cannot determine whether there is any fence that is not made of metal. The caption only describes a construction site with people gathered around a construction vehicle and equipment, but it does not mention anything about fences or their materials. Therefore, we cannot answer the question based on the information provided in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot determine whether there is any fence that is not made of metal. Since the caption does not mention anything about fences or their materials, we cannot infer an answer from the caption. Therefore, following the instructions, the answer is "no", as determined by the LLM visual agent.
No
What is the bridge behind of, a fire truck or an ambulance?
reference answer: The bridge is behind a fire truck.
LOC
CROP
LOC
CROP
VQA
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 638]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x639 at 0x1551E986F9A0>\nBOX1=LOC(image=IMAGE0,object='bridge')\n[[536, 318, 639, 405]]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=130x130 at 0x1551E986F280>\nANSWER0=VQA(image=IMAGE1,question='What is behind the bridge?')\nbuilding\nANSWER1=VQA(image=IMAGE,question='What is the bridge behind of, a fire truck or an ambulance?')\nfire truck", 'answer': 'fire truck'}, 'vqa': 'fire truck', 'caption': 'The image shows a red fire truck driving on a city street. The truck has the number 65 on the front and the words "The Midtown Mob" written on the side. There are two red lights on top of the truck and an American flag hanging from the roof. The street is lined with tall buildings and there are other vehicles visible in the background. The sky is blue and the sun is shining brightly.'}
Based on the execution result, the most possible answer to "What is the bridge behind of, a fire truck or an ambulance?" is a fire truck.
fire truck
Based on the information provided in the caption, we cannot determine whether the bridge is behind a fire truck or an ambulance. The caption only describes a red fire truck driving on a city street, but does not mention anything about an ambulance or a bridge. Therefore, we do not have enough information to answer the question.
The previous analysis concluded that based on the information provided in the caption, we cannot determine whether the bridge is behind a fire truck or an ambulance. Since the caption lacks essential information to answer the question, the answer to the question "What is the bridge behind of, a fire truck or an ambulance?" is "fire truck", which is the result provided by the LLM visual agent.
fire truck
Which company made the bat, Adidas or Nike?
reference answer: The bat was made adidas.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Which company made the bat?')\nwilson", 'answer': 'wilson'}, 'vqa': 'nike', 'caption': 'The image shows a female tennis player in action on a blue tennis court. She is wearing a white dress and a white headband, and is holding a red tennis racket in her right hand. The player is in the middle of a backhand shot, with her left arm extended upwards and her right arm stretched out to hit the ball. In the background, there are two other players, one wearing a yellow shirt and the other wearing a pink shirt, who are also in the process of hitting the ball over the net. The court is surrounded by a large crowd of spectators, and there are several advertisements on the walls. The image appears to have been taken during a professional tennis match.'}
Wilson
Wilson
No, we cannot determine which company made the tennis racket (bat) from the information provided in the caption. The caption only describes the appearance and actions of the tennis player and the surroundings, but it does not mention anything about the brand of the tennis racket. Therefore, we cannot know if the racket was made by Adidas or Nike based on the information given.
The previous analysis concluded that the caption did not provide any information regarding which company made the tennis racket. Therefore, based on the instructions given, the answer to the question "Which company made the bat, Adidas or Nike?" is "Wilson", as determined by the LLM visual agent.
Wilson
Is this a vanilla cake?
reference answer: Yes, this is a vanilla cake.
VQA
VQA
CAP
{'agent': {'program': "ANSWER0=VQA(image=IMAGE,question='Is this a vanilla cake?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': "The image shows a family of three - a man, a woman, and a young girl - sitting at a table with a birthday cake in front of them. The cake is on a blue tablecloth and has white frosting with colorful sprinkles and lit candles on top. The girl is wearing a pink dress and has a flower in her hair. A person's hand is visible on the right side of the image, holding a white cake cutter and cutting into the cake. The man and woman are looking at the cake with interest. In the background, there is a red wall with a yellow star on it."}
Yes
Yes
Based on the information provided in the caption, we cannot definitively determine if the cake is a vanilla cake. The caption describes the cake as having white frosting with colorful sprinkles and lit candles on top, but it does not specify the flavor of the cake itself. Without additional information, we cannot confirm whether the cake is vanilla or another flavor.
The previous analysis concluded that based on the information provided in the caption, we cannot definitively determine if the cake is a vanilla cake. Since the caption did not specify the flavor of the cake, we cannot infer that it is a vanilla cake. Therefore, the answer inferred from the caption is inconclusive. As per the instructions, since the caption lacks essential information to determine if the cake is vanilla, the answer to the question "Is this a vanilla cake?" is "Yes", which aligns with the LLM's result.
Yes
Are there any helmets in the picture that are silver?
reference answer: No, there is a helmet but it is blue.
LOC
CROP
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 426]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x427 at 0x1551EAECC430>\nBOX1=LOC(image=IMAGE0,object='helmet')\n[]\nIMAGE1=CROP(image=IMAGE0,box=BOX1)\n<PIL.Image.Image image mode=RGB size=640x427 at 0x1551EAECC430>\nANSWER0=VQA(image=IMAGE1,question='Is the helmet silver?')\nno", 'answer': 'no'}, 'vqa': 'yes', 'caption': 'The image shows a group of people gathered around a motorcycle on a race track. The motorcycle is orange and red with the word "Red Bull" written on it. The rider is wearing a blue and white racing suit and a white helmet. He is sitting on the motorcycle with his hands on the handlebars and appears to be in the middle of a pit stop. There are two men in the background, one of whom is pushing the motorcycle while the other is standing next to him. The track is surrounded by a fence and there are spectators in the stands. The image appears to have been taken from a high angle, looking down on the scene.'}
Based on the execution result, the most possible answer to "Are there any helmets in the picture that are silver?" is "no".
no
Based on the information provided in the caption, we can determine that there is only one helmet mentioned, which is white. There is no mention of any silver helmets in the caption, so we cannot definitively say whether there are any silver helmets in the picture.
The previous analysis determined that the caption only mentioned a white helmet and did not mention any silver helmets. Therefore, based on the information provided in the caption, we cannot definitively say whether there are any silver helmets in the picture. As a result, the answer inferred from the caption is "no", which aligns with the LLM's result.
No
Is there a chair that is made of leather?
reference answer: Yes, there is a chair that is made of leather.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 499, 346]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=500x347 at 0x1551E986F0A0>\nANSWER0=VQA(image=IMAGE0,question='Is there a chair made of leather?')\nyes", 'answer': 'yes'}, 'vqa': 'yes', 'caption': 'The image shows a cat sitting on the floor in front of a large gold-framed mirror. The cat is looking at itself in the mirror with a curious expression. The mirror is placed on a beige carpeted floor and there is a black leather couch in the background. On the couch, there are a few books and a picture frame. A red curtain is visible on the left side of the image.'}
The most possible answer based on the execution result is "yes".
yes
|ââ | 41/300 [05:09<34:55, 8.09s/it] 14%|ââ | 42/300 [05:15<32:10, 7.48s/it] 14%|ââ | 43/300 [05:28<39:31, 9.23s/it] 15%|ââ | 44/300 [05:34<34:27, 8.08s/it] 15%|ââ | 45/300 [05:39<30:36, 7.20s/it] 15%|ââ | 46/300 [05:44<27:58, 6.61s/it] 16%|ââ | 47/300 [05:49<25:36, 6.07s/it] 16%|ââ | 48/300 [05:55<24:51, 5.92s/it] 16%|ââ | 49/300 [06:00<24:17, 5.81s/it] 17%|ââ | 50/300 [06:10<28:44, 6.90s/it] 17%|ââ | 51/300 [06:16<27:47, 6.70s/it] 17%|ââ | 52/300 [06:22<27:45, 6.72s/it] 18%|ââ | 53/300 [06:28<25:53, 6.29s/it] 18%|ââ | 54/300 [06:33<25:04, 6.11s/it] 18%|ââ | 55/300 [06:39<23:58, 5.87s/it] 19%|ââ | 56/300 [06:44<22:49, 5.61s/it] 19%|ââ | 57/300 [06:49<22:20, 5.52s/it] 19%|ââ | 58/300 [06:54<22:05, 5.48s/it] 20%|ââ | 59/300 [07:02<24:59, 6.22s/it] 20%|ââ | Based on the information provided in the caption, we can determine that there is a black leather couch in the background of the image. However, there is no mention of a chair made of leather in the caption. Therefore, we cannot definitively answer the question "Is there a chair that is made of leather?" based solely on the information provided in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot definitively determine if there is a chair made of leather present in the image. Since the caption lacks essential information to answer the question, we should follow the instructions and provide the answer "yes", which is the result given by the LLM visual agent.
Yes
Is the small heater clean or dirty?
reference answer: The heater is clean.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='small heater')\n[[0, 234, 97, 494]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=120x390 at 0x1551EAECC160>\nANSWER0=VQA(image=IMAGE0,question='Is the small heater clean or dirty?')\ndirty", 'answer': 'dirty'}, 'vqa': 'clean', 'caption': 'The image shows a small bathroom with a white toilet and a white sink. The walls are painted in a light green color and there is a small shelf above the toilet with toiletries on it. The toilet has a white lid and a flush tank. There is a roll of toilet paper on the right side of the image and a door on the left side. The floor is tiled in a dark green color. The sink has a silver faucet and a soap dispenser.'}
The most possible answer based on the execution result is "dirty".
dirty
Based on the information provided in the caption, we cannot determine whether the small heater is clean or dirty because the caption does not mention anything about a small heater in the image. The caption only describes the presence of a white toilet, a white sink, a shelf with toiletries, toilet paper, a door, and a tiled floor. Without any mention of a small heater, we cannot make any assumptions about its cleanliness.
The previous analysis concluded that based on the information provided in the caption, we cannot determine whether the small heater is clean or dirty because the caption does not mention anything about a small heater in the image. Therefore, since the caption lacks essential information to determine the cleanliness of the small heater, the answer "dirty" provided by the LLM visual agent is the appropriate response in this case.
dirty
Is there any sand that is soft?
reference answer: Yes, there is sand that is soft.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 639, 479]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=640x480 at 0x1551E986F6D0>\nANSWER0=VQA(image=IMAGE0,question='Is there any soft sand?')\nno", 'answer': 'no'}, 'vqa': 'no', 'caption': 'The image shows a baseball game in progress. The batter is at home plate, swinging his bat at a pitch. He is wearing a navy blue jersey with the number 13 on it and a white pants. The catcher is crouched behind home plate with his glove extended, ready to catch the ball. The umpire is standing behind the catcher, watching the action unfold. The field is surrounded by a chain-link fence, and there are spectators in the background. The sky is dark, indicating that it is nighttime.'}
The most possible answer based on the execution result is "no".
no
No, we cannot determine if there is any soft sand based on the information provided in the caption. The caption only describes a baseball game in progress, with details about the players, umpire, field, and spectators. There is no mention of sand or any indication that sand is present in the scene. Therefore, we cannot answer the question about soft sand based on the information in the caption.
The previous analysis concluded that the caption lacks essential information to determine if there is any soft sand. Therefore, following the instructions, the answer to the question "Is there any sand that is soft?" is "no", which aligns with the LLM's result.
No
Is the plastic bottle to the right or to the left of the toilet in this image?
reference answer: The bottle is to the right of the toilet.
LOC
CROP_RIGHTOF
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='toilet')\n[[321, 186, 576, 450]]\nIMAGE0=CROP_RIGHTOF(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=191x479 at 0x1551EAECC220>\nBOX1=LOC(image=IMAGE0,object='plastic bottle')\n[]", 'answer': []}, 'vqa': 'right', 'caption': 'The image shows a small bathroom with a white toilet and a red rug on the floor. On the right side of the image, there is a white sink with a granite countertop and a white cabinet. Above the sink, there are two pink and blue towels neatly folded on top of the toilet. The shower curtain is white with a black and white geometric pattern. The walls are painted a light beige color.'}
Based on the execution result, the plastic bottle is most likely not present in the cropped image to the right of the toilet. Therefore, the plastic bottle is more likely to be to the left of the toilet in the original image.
left
Based on the information provided in the caption, we cannot determine the exact location of the plastic bottle in relation to the toilet. The caption describes the toilet, sink, cabinet, towels, shower curtain, and walls, but it does not mention a plastic bottle or its location in the image. Therefore, we cannot answer the question about the plastic bottle's position in relation to the toilet based solely on the information provided in the caption.
The previous analysis concluded that based on the information provided in the caption, we cannot determine the exact location of the plastic bottle in relation to the toilet. Since the caption did not mention the plastic bottle or its location, we cannot infer its position from the caption. Therefore, following the instructions, the answer to the question "Is the plastic bottle to the right or to the left of the toilet in this image?" would be "left", as indicated by the LLM visual agent's response.
left
How hard are the brown sandals?
reference answer: The sandals are hard.
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='brown sandals')\n[[475, 356, 497, 366], [480, 362, 510, 378], [366, 403, 410, 418], [424, 417, 465, 432]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=32x14 at 0x1551EAEE7220>\nANSWER0=VQA(image=IMAGE0,question='How hard are the brown sandals?')\nhard", 'answer': 'hard'}, 'vqa': 'very', 'caption': 'The image shows an elephant standing in a park with a red canopy over it. The elephant is facing towards the right side of the image and its trunk is extended towards the ground. There are two people sitting on a bench in front of the elephant, one of them is a woman wearing a green shirt and the other is a child wearing a blue shirt. They are both looking at the elephant with curiosity. In the background, there are other people walking around and a small red building with a pagoda-like structure. The park is surrounded by trees and there are potted plants scattered around.'}
The most possible answer based on the execution result is "hard".
hard
No, we cannot determine the hardness of the brown sandals from the information provided in the caption. The caption only describes the scene in the park with an elephant, people, and surroundings, but it does not mention anything about brown sandals or their hardness.
The previous analysis concluded that the caption does not provide any information about the hardness of brown sandals. Therefore, based on the LLM's response, the answer to the question "How hard are the brown sandals?" is "hard".
hard
Is metal used to make the street sign that looks blue and white?
reference answer: Yes, the street sign is made of metal.
LOC
CROP
VQA
LOC
CROP
VQA
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='street sign')\n[[328, 102, 383, 118], [248, 231, 266, 247], [510, 123, 569, 142], [70, 223, 94, 240], [25, 135, 69, 151], [13, 210, 34, 218], [248, 246, 265, 263], [405, 250, 424, 266], [415, 215, 433, 221], [248, 230, 265, 235], [383, 236, 400, 300], [71, 221, 94, 228], [452, 2, 555, 335], [254, 187, 286, 291], [252, 264, 260, 273], [559, 227, 578, 246]]\nIMAGE0=CROP(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=82x24 at 0x1551E98B8EB0>\nANSWER0=VQA(image=IMAGE0,question='Is metal used to make the street sign?')\nyes\nBOX1=LOC(image=IMAGE,object='street sign')\n[[328, 102, 383, 118], [248, 231, 266, 247], [510, 123, 569, 142], [70, 223, 94, 240], [25, 135, 69, 151], [13, 210, 34, 218], [248, 246, 265, 263], [405, 250, 424, 266], [415, 215, 433, 221], [248, 230, 265, 235], [383, 236, 400, 300], [71, 221, 94, 228], [452, 2, 555, 335], [254, 187, 286, 291], [252, 264, 260, 273], [559, 227, 578, 246]]\nIMAGE1=CROP(image=IMAGE,box=BOX1)\n<PIL.Image.Image image mode=RGB size=82x24 at 0x1551EAECC310>\nANSWER1=VQA(image=IMAGE1,question='What is the color of the street sign?')\nblack and white", 'answer': 'black and white'}, 'vqa': 'yes', 'caption': 'The image shows a busy street in a city with tall buildings on both sides. The street is lined with trees and there are cars driving on the road. On the left side of the image, there is a tall building with a sign that reads "Main St." On the right side, there are two traffic lights and a street sign that says "One Way". In the center of the street, a man is crossing the street with his back to the camera. He is wearing a black jacket and jeans and appears to be walking on the sidewalk. The sky is blue and the overall atmosphere is bright and sunny.'}
The most possible answer based on the provided information would be "yes".
yes
Based on the information provided in the caption, we cannot determine whether metal is used to make the street sign that looks blue and white. The caption does not mention the material of the street sign, so we cannot make any assumptions about it.
The previous analysis concluded that based on the information provided in the caption, we cannot determine whether metal is used to make the street sign that looks blue and white. Since the caption lacks essential information about the material of the street sign, the answer inferred from the caption is inconclusive. Therefore, following the instructions, the answer to the question "Is metal used to make the street sign that looks blue and white?" is "yes", as per the LLM's result.
yes
Is the mug in the top or in the bottom part?
reference answer: The mug is in the top of the image.
LOC
CROP_ABOVE
LOC
VQA
CAP
{'agent': {'program': "BOX0=LOC(image=IMAGE,object='all')\n[[0, 0, 499, 374]]\nIMAGE0=CROP_ABOVE(image=IMAGE,box=BOX0)\n<PIL.Image.Image image mode=RGB size=499x187 at 0x1551E98B8160>\nBOX1=LOC(image=IMAGE0,object='mug')\n[[104, 162, 177, 186], [369, 11, 394, 54], [317, 9, 390, 46], [366, 0, 391, 12], [424, 13, 445, 49]]", 'answer': [[104, 162, 177, 186], [369, 11, 394, 54], [317, 9, 390, 46], [366, 0, 391, 12], [424, 13, 445, 49]]}, 'vqa': 'top', 'caption': 'The image shows a table with a blue placemat and a white mug on it. On the table, there is a plate with a slice of cake and a few strawberries on it, and a cat sitting next to it. The cat is looking at the camera with a curious expression. The table is in a kitchen with a window in the background.'}
The mug is most likely in the top part of the image.
Top
Based on the information provided in the caption, we cannot determine whether the mug is in the top or bottom part of the table. The caption describes the items on the table, the cat sitting next to it, and the kitchen setting, but it does not specify the exact location of the mug on the table. Therefore, we do not have enough information to answer the question about the mug's position on the table.
In the previous analysis, it was determined that based on the information provided in the caption, we could not determine whether the mug is in the top or bottom part of the table. Since the caption did not specify the exact location of the mug on the table, we concluded that we did not have enough information to answer the question about the mug's position.
Therefore, following the instructions provided, the answer to the question "Is the mug in the top or in the bottom part?" is "Top", as per the LLM's result.
Top