Ultralytics
Maker of the YOLO family of real-time object detection models and training platform
About Ultralytics
Ultralytics develops the YOLO series of real-time vision models and an open-source Python package for training and deploying them. It offers a cloud platform for datasets, training and deployment, and enterprise licensing. Its models are widely used for detection, segmentation and tracking tasks.
Common use cases
- Object detection
- Video analytics
- Embedded vision
Products and services
Ultralytics YOLO
Open-source vision models for detection, segmentation and tracking.
Ultralytics Platform
Hosted dataset, training and deployment tools.
Enterprise License
Commercial licensing for proprietary use.
Key features
- Real-time detection
- Segmentation and pose
- Model export
- Edge deployment
- Cloud training
Integrations
- NVIDIA Jetson
- Hugging Face
- Google Colab
Ultralytics alternatives
- RoboflowComputer vision platform for labeling, training and deploying vision models
- Viso.aiEnd-to-end platform for building and operating enterprise computer vision applications
- Landing AIComputer vision platform for manufacturing visual inspection and document extraction
- ClarifaiAI platform for computer vision, LLM inference and compute orchestration
FAQs
Is YOLO free?
The models and package are open source under AGPL, with a paid enterprise license for closed-source use.
Can models run at the edge?
Yes, export formats target edge hardware.
What tasks are supported?
Detection, segmentation, classification and pose estimation.

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