# assets
**Repository Path**: chaoleo/assets
## Basic Information
- **Project Name**: assets
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: app-screenshots
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-25
- **Last Updated**: 2025-07-25
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# đ Welcome to the Ultralytics Assets Repository
Welcome! You've arrived at the [Ultralytics](https://www.ultralytics.com/) Assets repository, your central hub for visual assets, powerful pre-trained models, and curated datasets. These resources are designed to complement the Ultralytics YOLO ecosystem, supporting tasks like [object detection](https://docs.ultralytics.com/tasks/detect/), [instance segmentation](https://docs.ultralytics.com/tasks/segment/), [image classification](https://docs.ultralytics.com/tasks/classify/), [pose estimation](https://docs.ultralytics.com/tasks/pose/), and [object 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)
## đ ī¸ Features at a Glance
- **đŧ Visual Assets**: Access our collection of banners and logos for use in your applications or collaborations involving Ultralytics tools.
- **đ¤ Models at Your Fingertips**: Leverage pre-trained models, ready for deployment after [fine-tuning](https://www.ultralytics.com/glossary/fine-tuning). These models are optimized for a variety of [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) tasks.
- **đĻ Datasets Ready for Action**: Enhance your [machine learning](https://www.ultralytics.com/glossary/machine-learning-ml) projects with our repositories of [annotated data](https://www.ultralytics.com/glossary/data-labeling), prepared for model training, validation, and testing. Explore available datasets in our [datasets documentation](https://docs.ultralytics.com/datasets/).
## đĄ Getting Started with Usage
### đĨ Download Pretrained Models Seamlessly
Ultralytics YOLO frameworks automatically download required pre-trained models from this repository if they are not found locally.
```python
from ultralytics import YOLO
# Load a pre-trained Ultralytics YOLOv8n model
model = YOLO("yolov8n.pt") # Model automatically downloaded if not present
# Define the source image path
source = "path/to/image.jpg"
# Perform inference
results = model(source) # Returns detection results
```
### đ Embrace the Visuals
All visual assets are available on the main branch and can be downloaded directly for your projects, presentations, or documentation needs.
### đ Explore Our Datasets
Our datasets are accessible through repository releases. Each dataset includes a README file with usage instructions. Please review the specific licenses and guidelines for each dataset to ensure compliance with your project requirements.
## đ¤ Contribute
We encourage contributions from the community! Whether it's fixing bugs, adding new features, or improving documentation, your input is valuable. Check out our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) to learn how to get started. We also appreciate feedback on your experience with Ultralytics products; please consider filling out our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A huge đ thank you to all our contributors!
[](https://github.com/ultralytics/ultralytics/graphs/contributors)
## Šī¸ License
Ultralytics offers two licensing options:
- **AGPL-3.0 License**: An [OSI-approved](https://opensource.org/license/agpl-v3) open-source license ideal for students and enthusiasts, promoting open collaboration and knowledge sharing. See the [LICENSE](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) file for details.
- **Enterprise License**: Designed for commercial use, this license permits the integration of Ultralytics software and AI models into commercial products without the open-source stipulations of AGPL-3.0. If your project involves commercial applications, please contact us through [Ultralytics Licensing](https://www.ultralytics.com/license).
## đŦ Contact Us
For bug reports, feature requests, and contributions, please use [GitHub Issues](https://github.com/ultralytics/assets/issues). For questions and discussions about this project or other Ultralytics initiatives, join our vibrant community on [Discord](https://discord.com/invite/ultralytics)!
