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The mAP is the most commonly used metric for object detection and instance segmentation, which builds on top of IoU and the precision-recall curve. mIoU is an evaluation metric for semantic segmentation. The loss function and non-maximum suppression algorithm in the head of YOLOv5 are replaced. See details in paper.
感谢您做出的杰出工作,想请教下对于分割任务的评价指标,因为在我的研究方向上,大多数是用的miou来做指标,所以想请教下作者项目中可以输出miou吗?另外想请教下作者,关于小目标分割头的设计是用的v5中原有的分割头吗?
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