Welcome! You've arrived at the Ultralytics 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, instance segmentation, image classification, pose estimation, and object tracking.
- 🖼 Visual Assets: Access our collection of banners and logos for use in your applications or collaborations involving Ultralytics tools.
- 🤖 Models at Your Fingertips: Leverage pre-trained models, ready for deployment after fine-tuning. These models are optimized for a variety of computer vision tasks.
- 📦 Datasets Ready for Action: Enhance your machine learning projects with our repositories of annotated data, prepared for model training, validation, and testing. Explore available datasets in our datasets documentation.
Ultralytics YOLO frameworks automatically download required pre-trained models from this repository if they are not found locally.
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 resultsAll visual assets are available on the main branch and can be downloaded directly for your projects, presentations, or documentation needs.
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.
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 to learn how to get started. We also appreciate feedback on your experience with Ultralytics products; please consider filling out our Survey. A huge 🙏 thank you to all our contributors!
Ultralytics offers two licensing options:
- AGPL-3.0 License: An OSI-approved open-source license ideal for students and enthusiasts, promoting open collaboration and knowledge sharing. See the 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.
For bug reports, feature requests, and contributions, please use GitHub Issues. For questions and discussions about this project or other Ultralytics initiatives, join our vibrant community on Discord!
