# assets
**Repository Path**: junctioner/assets
## Basic Information
- **Project Name**: assets
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-08-12
- **Last Updated**: 2026-08-12
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Ultralytics Assets
[English](README.md) | [简体中文](README.zh-CN.md)
This repository stores shared Ultralytics assets used across documentation, applications, examples, releases, and model downloads. It provides stable files for the Ultralytics YOLO ecosystem, including [object detection](https://docs.ultralytics.com/tasks/detect), [instance segmentation](https://docs.ultralytics.com/tasks/segment), [classification](https://docs.ultralytics.com/tasks/classify), [pose estimation](https://docs.ultralytics.com/tasks/pose), and [tracking](https://docs.ultralytics.com/modes/track).
[](https://github.com/ultralytics/assets/actions/workflows/format.yml)
[](https://discord.com/invite/ultralytics)
[](https://community.ultralytics.com/)
[](https://reddit.com/r/ultralytics)
## What Is Included
- **Visual assets**: logos, favicons, social icons, Open Graph images, screenshots, diagrams, and banners.
- **Model assets**: pretrained model files downloaded automatically by Ultralytics tools when they are not already available locally.
- **Dataset assets**: dataset release artifacts and examples referenced by Ultralytics documentation and tutorials.
## Using Assets
Use raw GitHub URLs when referencing assets from documentation, notebooks, websites, or examples:
```text
https://raw.githubusercontent.com/ultralytics/assets/main/path/to/asset.ext
```
For example, the Ultralytics logo above is available at:
```text
https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg
```
## Using Pretrained Models
Ultralytics YOLO libraries download supported pretrained models from this repository automatically when the requested model is not found locally.
```python
from ultralytics import YOLO
model = YOLO("yolo26n.pt")
results = model("path/to/image.jpg")
```
See the [Ultralytics model documentation](https://docs.ultralytics.com/models) for available model families, tasks, and export options.
## Datasets
Dataset artifacts are published through repository releases and referenced from the [Ultralytics datasets documentation](https://docs.ultralytics.com/datasets). Review the README, license, and usage notes for each dataset before using it in a project.
## Repository Layout
- `app/`: App store badges, screenshots, and onboarding visuals.
- `blog/`, `og/`, and `partners/`: Blog, Open Graph, and partner media.
- `docs/`: Documentation images, diagrams, screenshots, audio, and media.
- `documents/`: Legal and policy documents such as the Contributor License Agreement (CLA).
- `im/`: Sample images used in inference and documentation examples.
- `logo/`: Ultralytics logos, logotypes, and favicon assets.
- `mkdocs/`: Assets used by Ultralytics documentation builds.
- `social/`: Social media icons used across Ultralytics repositories.
- `yolo/`, `yolov3/`, `yolov5/`, and `yolov8/`: YOLO-family banners, diagrams, and example assets.
## Contributing
Contributions are welcome when they improve asset quality, accuracy, organization, or documentation. Please read the [Contributing Guide](https://docs.ultralytics.com/help/contributing) before opening a pull request. For product feedback, use the [Ultralytics Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey).
[](https://github.com/ultralytics/ultralytics/graphs/contributors)
## License
Ultralytics offers two licensing options:
- **AGPL-3.0 License**: An [OSI-approved](https://opensource.org/license/agpl-3.0) open-source license for open collaboration and knowledge sharing. See the [LICENSE](LICENSE) file for details.
- **Enterprise License**: A commercial license for integrating Ultralytics software and AI models into commercial products without AGPL-3.0 requirements. Contact [Ultralytics Licensing](https://www.ultralytics.com/license) for details.
## Contact
For bug reports, feature requests, and contributions, use [GitHub Issues](https://github.com/ultralytics/assets/issues). For questions and discussions, join the Ultralytics community on [Discord](https://discord.com/invite/ultralytics).
