Below is the code version I used. I followed the steps in the README, including testing and training on the COCO 2014 dataset.
- The test mAP is only 53.913%, which is lower than the 55.5% mentioned in the README.
-
The training mAP is even worse. It seems that the model fails to train properly, as the final mAP is only about 10% after completing 300 epochs.
-
When I modify the initial learning rate in config/yolov3.cfg to 0.00001, the mAP gradually increases at the beginning, reaching around 26%. However, after approximately 60 epochs, the mAP increases very slowly, and by epoch 300, it remains around 26%, almost the same as at epoch 60. This suggests that the learning rate is too small after 60 epochs.
-
If I comment out the code that decreases the learning rate, it does not make much difference—the final mAP still remains around 26% after 300 epochs. (This is after modifying the initial learning rate in config/yolov3.cfg to 0.00001.)
Below is the code version I used. I followed the steps in the README, including testing and training on the COCO 2014 dataset.
The training mAP is even worse. It seems that the model fails to train properly, as the final mAP is only about 10% after completing 300 epochs.
When I modify the initial learning rate in config/yolov3.cfg to 0.00001, the mAP gradually increases at the beginning, reaching around 26%. However, after approximately 60 epochs, the mAP increases very slowly, and by epoch 300, it remains around 26%, almost the same as at epoch 60. This suggests that the learning rate is too small after 60 epochs.
If I comment out the code that decreases the learning rate, it does not make much difference—the final mAP still remains around 26% after 300 epochs. (This is after modifying the initial learning rate in config/yolov3.cfg to 0.00001.)