अवलोकन
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.
प्रमुख विशेषताएँ
- A PyTorch-based object detection project with training, inference and export workflows.
आवश्यकताएँ, इंस्टॉलेशन और त्वरित शुरुआत
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).
उपयोग
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).
मॉडल संगतता और उपयोग के मामले
रिपॉज़िटरी मेटाडेटा में मॉडल संगतता का उल्लेख नहीं है।
लाइसेंस और जोखिम संबंधी टिप्पणियाँ
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.
रिलीज़ और रखरखाव
[View upstream releases](https://github.com/ultralytics/yolov5/releases).