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I've used the YOLOv3 model for Deepfashion2 with the validation set given by deepfashion2 and my scores are so low despite using 5,000 and 10,000 images. The mean average precision is low as well. Can I ask how did you come up with your own result for coco evaluation?
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Hoy did you calculate the average precision? I used darknet to get the .json file with detections in coco format, but you can get your owns as well. If you get the .json file manually, you have to set the confidence threshold as lower as possible (i.e. 0.001)
I've used the YOLOv3 model for Deepfashion2 with the validation set given by deepfashion2 and my scores are so low despite using 5,000 and 10,000 images. The mean average precision is low as well. Can I ask how did you come up with your own result for coco evaluation?
The text was updated successfully, but these errors were encountered: