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The confidence of boxes decreases after the custom dataset is added into training datasets #560

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zhuitaiyang opened this issue Jan 2, 2025 · 1 comment

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@zhuitaiyang
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I added private datasets (include person and car) to the training set of YOLO-World, hoping that YOLO-World can maintain zero-shot ability while adapting to private datasets. Through testing on lvis datasets, I found that the index only dropped a little. But when I used model detecting fire just now, I found that, i need to set the confidence level very low(0.00005) to detect it, and the model without private datasets can be detected despite using a higher confidence threshold(0.01), what is the problem?
with private datasets
vis_139_jpg rf 7290cb86c11e29c285a51853db4a8a91
without private datasets
vis_139_jpg rf 7290cb86c11e29c285a51853db4a8a91

@nightwishhhhh
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same here

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