Ringkasan
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.
Fitur utama
- A PyTorch-based object detection project with training, inference and export workflows.
Persyaratan, instalasi, dan mulai cepat
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).
Penggunaan
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).
Kompatibilitas model dan kasus penggunaan
Kompatibilitas model tidak tercantum dalam metadata repositori.
Catatan lisensi dan risiko
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.
Rilis dan pemeliharaan
[View upstream releases](https://github.com/ultralytics/yolov5/releases).