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Ultralytics YOLO

Ultralytics YOLO, the leader in computer vision

Production-proven computer vision, relied on by millions of developers and leading enterprises. License it for your own stack, or build on Ultralytics Platform.

Trusted by the world's leading organizations

The standard for every vision task. Seven tasks, one model family, from cloud to edge.

Pose estimation: warehouse worker in a hard hat and safety vest carrying a box on one shoulder, with body keypoints joined into a skeleton.
Oriented object detection (OBB): aerial view of solar panels on a dark shingled roof, each detected with a rotated box labeled Panel.
Object detection: metal castings on a conveyor belt, with bounding boxes labeled part_damaged and crack.
Instance segmentation: panoramic dental X-ray with teeth segmented by individual masks and numbered tooth labels.
Semantic segmentation: highway scene colored by class, vehicles and trees in green, road in blue, roadsides in pink.
Depth estimation: warehouse workers in hard hats as a depth map, nearest people in warm colors, background in blue.
Image classification: yellow package on a curved conveyor belt, classified as box.
Pose estimation: warehouse worker in a hard hat and safety vest carrying a box on one shoulder, with body keypoints joined into a skeleton.
Oriented object detection (OBB): aerial view of solar panels on a dark shingled roof, each detected with a rotated box labeled Panel.
Object detection: metal castings on a conveyor belt, with bounding boxes labeled part_damaged and crack.
Instance segmentation: panoramic dental X-ray with teeth segmented by individual masks and numbered tooth labels.
Semantic segmentation: highway scene colored by class, vehicles and trees in green, road in blue, roadsides in pink.
Depth estimation: warehouse workers in hard hats as a depth map, nearest people in warm colors, background in blue.
Image classification: yellow package on a curved conveyor belt, classified as box.
Pose estimation: warehouse worker in a hard hat and safety vest carrying a box on one shoulder, with body keypoints joined into a skeleton.
Oriented object detection (OBB): aerial view of solar panels on a dark shingled roof, each detected with a rotated box labeled Panel.
Object detection: metal castings on a conveyor belt, with bounding boxes labeled part_damaged and crack.
Instance segmentation: panoramic dental X-ray with teeth segmented by individual masks and numbered tooth labels.
Semantic segmentation: highway scene colored by class, vehicles and trees in green, road in blue, roadsides in pink.
Depth estimation: warehouse workers in hard hats as a depth map, nearest people in warm colors, background in blue.
Image classification: yellow package on a curved conveyor belt, classified as box.

Our models' impact

Streamline processes across industries with our cutting-edge vision AI models. Speed, accuracy and ease-of-use powered by Ultralytics.

138.7K+
GitHubGitHub stars
340.5M+
Downloads
4.1B+
Ultralytics YOLO usages / day
1.2K+
Open-source contributors
Ultralytics YOLO licensing

Integrate YOLO into systems you already have

Ship Ultralytics YOLO in your own solutions, with an Enterprise License for commercial use.

  • Commercial use: No AGPL-3.0 obligations for closed source.
  • Your infrastructure: On-premise, edge, or your own cloud.
  • 22 export formats: ONNX, TensorRT, CoreML, and more.
  • Dedicated support: Custom SLAs and direct engineer access.
Ultralytics logo connected to Annotate, Train, and Deploy.
Ultralytics Platform

Annotate, train, and deploy in one place

Label data, train on cloud GPUs, and deploy globally, with no infrastructure needed.

Our customers

Start with open models, add enterprise terms

The models developers build on

Ultralytics YOLO is the default starting point for real-time detection across 7 tasks, from research to production.

Python code that loads a YOLO26 model and ships it to production, commented with Ultralytics Enterprise License.

License it for production

Remove open-source obligations, with dedicated support, custom SLAs, and on-premise deployment.

Security & compliance

Enterprise-grade security, certified

Independently certified and audited, so your data stays protected in transit and at rest.

SOC 2 Type I

Attested against AICPA Security, Availability, and Confidentiality TSC

ISO 27001:2022

Certified information security management system

Encryption

Data encrypted in transit and at rest, across all storage and transport

GDPR & CCPA

Aligned with global data protection regulations

Where Ultralytics YOLO delivers results

Computer vision in logistics

Fewer supply chain errors

From the warehouse floor to the loading dock, Ultralytics YOLO automates counting, sorting, and inspection across every step of the supply chain.

  • Warehouse & inventory: Automate counts across every aisle.
  • Parcel & baggage: Detect and spot damage at conveyor speed.
  • Transport maintenance: Catch faults on vehicles early.
  • Loading docks: Verify loads and track vehicle dwell times.
  • License plate recognition: Automate gate access and yard management.
Move goods faster with Ultralytics YOLO

Frequently asked questions

  • Yes. Enterprise customers receive dedicated support, custom SLAs, flexible licensing, and access to custom models trained on over one million images. Ultralytics can deploy to your own infrastructure or private cloud. Contact the sales team for a tailored quote.

  • Most platforms solve one piece of the problem. Ultralytics unifies annotation, training, and deployment into a single computer vision system. As the creators of YOLO, Ultralytics brings unmatched depth in computer vision technology, with open-source foundations on GitHub trusted by millions of developers worldwide.

  • Ultralytics powers computer vision applications across manufacturing, healthcare, automotive, agriculture, retail, and logistics. Teams use it for visual inspection, medical imaging, real-time object detection, facial recognition, and many other real-world AI use cases.

  • Models trained on Ultralytics Platform can be deployed to 43 global regions with built-in autoscaling and monitoring. The platform also supports export to ONNX, TensorRT, CoreML, TFLite, and other formats for edge deployment on devices like NVIDIA Jetson, Raspberry Pi, and mobile phones.

  • Ultralytics provides browser-based annotation tools with smart annotation that accelerate dataset creation. You can draw bounding boxes, polygons, and keypoints directly in the platform, with intelligent suggestions that significantly reduce manual labeling time.

  • Ultralytics Platform supports the full YOLO family, including the latest YOLO26 and earlier YOLO model families for existing workflows. These models cover detection, segmentation, classification, pose estimation, and oriented bounding box tasks across model sizes from nano to extra-large.

  • Yes. Ultralytics offers a free plan that includes access to annotation tools, model training, and deployment capabilities. Enterprise plans with additional features, priority support, and higher usage limits are also available for teams that need to scale. To learn more, visit our pricing page.

  • Ultralytics is a complete computer vision platform for annotating datasets, training YOLO models on cloud GPUs, and deploying to 43 global regions, all from one unified workspace. It streamlines the full journey from raw visual data to production-ready, AI-powered applications, replacing the fragmented tooling that slows most computer vision projects down.

Build on the models the industry already uses

Talk to our team about licensing Ultralytics YOLO for your products, or start on Ultralytics Platform.