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, instance segmentation, classification, pose estimation, and tracking.
- 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.
Use raw GitHub URLs when referencing assets from documentation, notebooks, websites, or examples:
https://raw.githubusercontent.com/ultralytics/assets/main/path/to/asset.ext
For example, the Ultralytics logo above is available at:
https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg
Ultralytics YOLO libraries download supported pretrained models from this repository automatically when the requested model is not found locally.
from ultralytics import YOLO
model = YOLO("yolo26n.pt")
results = model("path/to/image.jpg")See the Ultralytics model documentation for available model families, tasks, and export options.
Dataset artifacts are published through repository releases and referenced from the Ultralytics datasets documentation. Review the README, license, and usage notes for each dataset before using it in a project.
app/: App store badges, screenshots, and onboarding visuals.blog/,og/, andpartners/: Blog, Open Graph, and partner media.docs/: Documentation images, diagrams, screenshots, audio, and media.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/, andyolov8/: YOLO-family banners, diagrams, and example assets.
Contributions are welcome when they improve asset quality, accuracy, organization, or documentation. Please read the Contributing Guide before opening a pull request. For product feedback, use the Ultralytics Survey.
Ultralytics offers two licensing options:
- AGPL-3.0 License: An OSI-approved open-source license for open collaboration and knowledge sharing. See the 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 for details.
For bug reports, feature requests, and contributions, use GitHub Issues. For questions and discussions, join the Ultralytics community on Discord.








