awesome-yolo-object-detection
This repository is a comprehensive resource hub for the YOLO framework, renowned for real-time object detection. It offers official implementations and variations for platforms like PyTorch and TensorFlow. The project includes extensional frameworks, lightweight deployment options, and applications across diverse fields such as video and medical detection. Covering techniques like pruning, knowledge distillation, and quantization, it supports deployment on hardware like FPGA and TPU. Developers can benefit from the curated learning resources, paper reviews, and code evaluations to enhance skills relevant to fields like autonomous driving and robotics.