Open Xavier-Lin opened 2 years ago
It is normal for the results of test-dev set to be lower than that of val set. The accuracy of tph-yolov5 on the visdrone dataset is val > test-challenge > test-dev. The results of test-dev set shows in paper are obtained by training the tph-yolov5x model on train and val set, so the results obtained are slightly better than the given weights v5l-xs-2 and reaches 34.90.
Thank you for your explanation of the accuracy of different data sets
使用您所给的权重进行推理,在验证集(40.8)和测试开放集上的结果(32.2)相差很大,特别是在测试开发集上的推理结果(32.2)与论文结果有一些区别,是我自己哪里设置的不对吗,想请教一下您这个问题,感谢。