This repository implements YOLOv3 for hand detection on the Oxford Hand dataset and applies channel pruning based on the Network Slimming paper (ICCV 2017). The approach uses sparse training on batch normalization gamma coefficients to identify and remove less important channels, reducing model parameters by 80%, FLOPs by 70%, while maintaining comparable mAP and doubling inference speed.