yolov4-tiny pretrained model? about yolox

[yuto3o]

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