Comments (3)
是的,对于特征明显或者易区分的待检测目标,shufflev2-yolov5s还是很鲁棒的,此为训练水果的数据:
训练数据在200张左右,如你所见,单独识别山楂,苹果,葡萄还是非常简单的,还不需要特别深的网络,但是!!如果你识别山楂、苹果这种二分类,在同一张图片上就不好说了,可能会误识别哈哈哈~
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好的,谢谢,另外想问下训练小尺度目标的话需不需要增大图片的size?
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最好需要
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