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需要关注吗?不均衡的数据mAP只有0.2左右。根据您的经验建议怎么解决呢?是在数据准备中还是在loss中加权?
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做一些离线的数据增强,或替换Loss, 现在YOLO v5使用Focal Loss, 可以试一下Gensralized Focal Loss等; 但是最重要的还是数据量和标注的质量,这两个肯定要保证,如果数据量上来了,不平衡也会被削弱
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感谢!不过还想问一下怎么样具体的显示验证集中每一类的precision、recall呢?还有就是怎么样固定部分网络的权重,比如我只想训练用于分类的网络?
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需要关注吗?不均衡的数据mAP只有0.2左右。根据您的经验建议怎么解决呢?是在数据准备中还是在loss中加权?
The text was updated successfully, but these errors were encountered: