meituan/YOLOv6
A single-stage object detection framework implementing YOLOv6 architecture for real-time detection tasks.

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This repository provides the official implementation of YOLOv6, a real-time object detection model for industrial applications. It includes training scripts, evaluation benchmarks, and model weights across multiple scales (N/T/S/M/L). The framework supports quantization, segmentation, and face detection variants, built on PyTorch for training and deployment.