ultralytics/yolov5

Supports object detection, instance segmentation, and image classification tasks across diverse hardware through unified training and inference pipelines. Built on PyTorch with automated model optimization for deployment via PyTorch Hub, offering pre-trained weights and reproducible training from scratch with configurable architectures (Nano to Extra-Large). Integrates native inference acceleration through TorchScript, Docker containers, and cloud platforms like Google Colab and Kaggle for streamlined development and deployment workflows.

57,000 stars. Actively maintained with 7 commits in the last 30 days.