I have tried to train on DOTA using the COCO config, but got a bad result, the minimum loss displayed when training was more than 0.1, and the pseudo box in visualization is terrible. Does this model not apply to remote sensing data sets? these are one pic of my results and train information:
The anchor setting and learning rate can be changed in DOTA to adapt to the object scale. We have no time to adjust it now and we will try it in following work. Thanks!
I have tried to train on DOTA using the COCO config, but got a bad result, the minimum loss displayed when training was more than 0.1, and the pseudo box in visualization is terrible. Does this model not apply to remote sensing data sets? these are one pic of my results and train information: