yuto3o / yolox

More Than YOLO(v3, v4, v3-tiny, v4-tiny)
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yolov4-tiny pretrained model? #3

Closed cannguyen275 closed 4 years ago

cannguyen275 commented 4 years ago

Hi @yuto3o,

Is it okay to publish YOLOv4-tiny pre-trained model? I would like to test it.

Thanks a lot!

yuto3o commented 4 years ago

I think if you can train it by yourself, a much better model could be got.

baiduyun disk link:https://pan.baidu.com/s/1LZjbrKb-bStqw0Tgu7Zc5Q code:qfsc

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.657 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.338 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.040 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.145 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.428 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.359 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.495 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.515 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.158 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.326 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.583