Tổng quan
A PyTorch-based object detection project with training, inference and export workflows. The repository is maintained under ultralytics on GitHub. Its primary language is Python. See the [project README](https://github.com/ultralytics/yolov5#readme) for the supported workflows.
Tính năng chính
- A PyTorch-based object detection project with training, inference and export workflows.
Yêu cầu, cài đặt và bắt đầu nhanh
Use the repository installation guide to select the runtime and any required model weights. Verify operating-system and GPU compatibility before starting.
[Read the upstream installation and quickstart instructions](https://github.com/ultralytics/yolov5#readme).
[Read the upstream installation and quickstart instructions](https://github.com/ultralytics/yolov5#readme).
Cách sử dụng
Try the documented image or video example with your own test material, inspect the results, then integrate the relevant API or processing workflow.
[Usage examples and configuration reference](https://github.com/ultralytics/yolov5#readme).
[Usage examples and configuration reference](https://github.com/ultralytics/yolov5#readme).
Khả năng tương thích của mô hình và trường hợp sử dụng
Khả năng tương thích của mô hình không được nêu trong siêu dữ liệu của kho lưu trữ.
Ghi chú về giấy phép và rủi ro
GitHub reports AGPL-3.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: AGPL-3.0.
Phát hành và bảo trì
[View upstream releases](https://github.com/ultralytics/yolov5/releases).