train dataset: VOC 2012 + VOC 2007
test size: 544
test code: Faster rcnn (not use 07 metric)
test GPU: 12G 2080Ti
test CPU: E5-2678 v3 @ 2.50GHz
| Version | Network | Backbone | Initial weight | VOC2007 Test(mAP) | Inference(GPU) | Inference(CPU) | Params |
| V1 | YOLOV3 | Darknet53 | YOLOV3-608.weights | 88.8 | 30.0ms | 255.8ms | 248M |
| V2 | YOLOV3 | Darknet53 | Darknet53_448.weights | 83.3 | 30.0ms | 255.8ms | 248M |
| V3 | YOLOV3-Lite | MobilenetV2 | MobilenetV2_1.0_224.ckpt | 79.4 | 18.9ms | 80.9ms | 27.3M |
Check Strongeryolo-pytorch for pytorch version with channel-pruning.
There is also a MNN Demo for Verson V3.