This repo was inspired by the paper Bag of Freebies for Training Object Detection Neural Networks.
I would test popular training tricks as many as I can for improving one-stage detector accuarcy, feel free to leave a comment or email me about the tricks you want me to test (yhao.chen0617@gmail.com).
Traing Data : VOC0712 trainval
Test data : VOC07 test
GPU : TITAN X (pascal)
Framework : Pytorch 0.4
| Network | mAP | FPS | Parameter |
|---|---|---|---|
| SSD 300 | 80.58 | ~100 | - |
| YOLOV3 544 | - | - | - |
Note:
- Stronger YOLOv3 with much tricks will be released soon.
- This repo does not use multi-scale train because of the limitation of GPU memory (I only have one card), which is extremely beneficial to detector.