Detect bounding box of objects from single image.
| Name | mAP75 | mAP50 | GFlops | Resolution | Publish Date |
|---|---|---|---|---|---|
| yolov7 | 51.72 | 66.17 | 104.7 | 640 | 2022.7 |
| yolox_l | 48.98 | 64.45 | 155.6 | 640 | 2021.8 |
| yolox_m | 46.28 | 62.12 | 73.8 | 640 | 2021.8 |
| yolov4 | 43.02 | 64.38 | 129.5 | 416 | 2020.4 |
| yolov6_t | 40.76 | 57.06 | 36.7 | 640 | 2022.6 |
| yolox_s | 39.53 | 56.35 | 26.8 | 640 | 2021.8 |
| yolov3 | 36.94 | 65.23 | 65.86 | 416 | 2018.4 |
| yolov5s6 | 35.12 | 51.90 | 16.8 | 640 | 2021.10 |
| yolov5s | 34.11 | 51.89 | 16.5 | 640 | 2020.6 |
| yolov7_tiny | 32.34 | 46.96 | 5.8 | 416 | 2022.7 |
| yolox_tiny | 31.36 | 47.04 | 6.45 | 416 | 2021.8 |
| yolov6_n | 29.69 | 43.79 | 4.7 | 416 | 2022.6 |
| yolox_nano | 24.15 | 39.03 | 1.08 | 416 | 2021.8 |
| yolov4_tiny | 16.13 | 36.31 | 6.92 | 416 | 2020.4 |
| yolov3_tiny | 12.65 | 35.76 | 5.56 | 416 | 2018.4 |
Basically the accuracy of object detection algorithm is calculated by mAP. In this page, mAP was calculated using this repository.
https://github.com/axinc-ai/ailia-models-measurement/tree/main/object_detection
The repository uses Object-Detection-Metrics for mAP calculation.
https://github.com/rafaelpadilla/Object-Detection-Metrics
We used COCO2017 val images for testing. We set parameters, iou = 0.5 (mAP50) and iou = 0.75 (mAP75), detection threshold = 0.01 (Because small value achieves high accuracy).
GFlops was referred from below site.
- yolox : https://github.com/Megvii-BaseDetection/YOLOX
- yolov5 : https://github.com/ultralytics/yolov5
- yolov4 : https://github.com/Tianxiaomo/pytorch-YOLOv4 https://docs.openvino.ai/latest/omz_models_model_yolo_v4_tiny_tf.html
- yolov3 : https://pjreddie.com/darknet/yolo/
Detect bounding box and mask of objects from single image.
| Name | maskAP | Classes | Resolution | Publish Date |
|---|---|---|---|---|
| detic swinB | 41.3 (LVIS-all) | 1000+ | 800 | 2022.1 |
| detic Res50 | 33.2 (LVIS-all) | 1000+ | 800 | 2022.1 |
| maskrcnn R_50_FPN | 34.2 (coco) | 80 | 800 | 2019.9 |
maskAP was referred from below site.
-
maskrcnn : https://github.com/facebookresearch/maskrcnn-benchmark/blob/main/MODEL_ZOO.md
-
detic : https://github.com/facebookresearch/Detic/blob/main/docs/MODEL_ZOO.md https://arxiv.org/pdf/2201.02605.pdf
Object Detection https://paperswithcode.com/task/object-detection