Comments (3)
d5423197
commented on July 16, 2024
I saw the same thing in YOLOV6
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WongKinYiu
commented on July 16, 2024
IoU value as objectness label.
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buxihuo
commented on July 16, 2024
IoU value as objectness label.
Yes, but the use of IOU value in classification labels will also bring performance improvement. On the S model of yolov5, map50@50 : 95 can be increased to more than 38, but it has little effect on X model.
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Related Issues (20)
- Data augmentation
- labels, shapes, self.segments = zip(*cache.values())
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- YOLOv7 directly in a Python environment
- more detail
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- Alternative of NMS (torchvision.ops.nms(boxes, scores, iou_thres) or Modification Based on description
- David
- Normalize Confusion Matrix
- Is this an appropriate tool to use to detect images in live video feed? HOT 1
- How to get the name of the object from detection(like put it in a variable or smth)? HOT 1
- Is this repository still maintained? HOT 1
- If my custom dataset are all 300X300, or 600X600, is there necessary to train a model use image-size1280? HOT 4
- How to get segmentations in form of [ [670,35][6,305] [60,3]] from segments model of yolov7
- Don't detect a object in a image after prediction HOT 1
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