ultralytics/yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 339 contributors on GitHub.
Use Cases & Benefits
- Provides a PyTorch-based framework for object detection, instance segmentation, classification, training, and model export.
- Delivers state-of-the-art accuracy and speed with easy-to-use pretrained models and seamless integration for real-time applications.
- Use for developing custom object detection models on specialized datasets with efficient training and transfer learning.
- Use for deploying optimized models on edge devices like NVIDIA Jetson or mobile platforms via TensorRT, CoreML, or TFLite exports.
- Use for integrating real-time video stream analysis in surveillance, robotics, or autonomous systems with multi-source inference support.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
AGPL 3.0
Network copyleft: like the GPL, and also triggered by offering the software over a network.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- AGPL-style copyleft also applies when the software is offered over a network.
General guidance from repository metadata, not legal advice. How we score
From the README
Ultralytics YOLOv5 🚀 is a cutting-edge, state-of-the-art (SOTA) computer vision model developed by Ultralytics. Based on the PyTorch framework, YOLOv5 is renowned for its ease of use, speed, and accuracy. It incorporates insights and best practices from extensive research and development, making it a popular choice for a wide range of vision AI tasks, including object detection, image segmentation, and image classification.
We hope the resources here help you get the most out of YOLOv5. Please browse the YOLOv5 Docs for detailed information, raise an issue on GitHub for support, and join our Discord community for questions and discussions!
To request an Enterprise License, please complete the form at Ultralytics Licensing.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
17.4K-32
Open issues
26-5
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| ultralytics/yolov5 | 58.2K | — | 45 | — |
| SYSTRAN/faster-whisper | 26.5K | — | 40 | 368 days ago |
| GeeeekExplorer/nano-vllm | 16.3K | — | 12 | — |
| Lightning-AI/litgpt | 13.8K | — | 58 | 129 days ago |
| data-privacy-stack/presidio | 11.8K | — | 64 | 10 days ago |
| Category median | 16.3K | — | 58 | — |
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