您好，按照您的程序和参数在VOC07上训练结果不理想

[huxian0402]

您的工作非常好，但是我按照您的您的程序和参数在VOC07上进行训练，训练了50个epoch，精度Train-RetinaTotalAcc=0.872032，RetinaFocalLoss=0.210117，RetinaL1Loss=0.117969。最终在voc_test上测试结果只有Mean AP@0.5 = 0.2392，Mean AP@0.7 = 0.0769。非常奇怪，请问是什么原因？以下是我的详细的train 和test log。

VOC07 metric? Y
AP for aeroplane = 0.2743
AP for bicycle = 0.2317
AP for bird = 0.1421
AP for boat = 0.0626
AP for bottle = 0.0513
AP for bus = 0.3651
AP for car = 0.5351
AP for cat = 0.3187
AP for chair = 0.0742
AP for cow = 0.2298
AP for diningtable = 0.1020
AP for dog = 0.2814
AP for horse = 0.3285
AP for motorbike = 0.3521
AP for person = 0.3603
AP for pottedplant = 0.1216
AP for sheep = 0.2260
AP for sofa = 0.1875
AP for train = 0.2995
AP for tvmonitor = 0.2410
Mean AP@0.5 = 0.2392
AP for aeroplane = 0.0355
AP for bicycle = 0.0239
AP for bird = 0.0420
AP for boat = 0.0303
AP for bottle = 0.0070
AP for bus = 0.1550
AP for car = 0.1918
AP for cat = 0.1068
AP for chair = 0.0140
AP for cow = 0.1064
AP for diningtable = 0.0465
AP for dog = 0.0552
AP for horse = 0.0889
AP for motorbike = 0.0846
AP for person = 0.1145
AP for pottedplant = 0.0364
AP for sheep = 0.0675
AP for sofa = 0.0982
AP for train = 0.0973
AP for tvmonitor = 0.1370
Mean AP@0.7 = 0.0769
请问这是什么问题？您还在更新么？

[huxian0402]

请问您知道是什么问题么？我还是没解决，得到的mAP还是只有0.07左右 @unsky

[unsky]

在 voc数据集上还需要调试，我目前只能达到60+ 使用adamslover

[huxian0402]

近期还会更新么？ @unsky

[jkznst]

@huxianxian I re-implemented RetinaNet and achieved 76 mAP on VOC07 test set. You can see my repo.

[qihaouu]

@huxian0402 你解决了这个问题了么？我也遇到了类似的问题

[kk52099]

您好，能发一份 resnet-50-0000.params这个参数文件给我吗？ 提供的网址我这打不开