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Ultralytics

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An end-to-end computer vision platform to annotate data, train YOLO models, and deploy them globally, built around the widely adopted Ultralytics YOLO open-source framework.

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Ultralytics screenshot

Ultralytics is an end-to-end computer vision platform for annotating data, training YOLO models, and deploying them across 42 global regions. It is built around the Ultralytics YOLO framework, from YOLOv5 to YOLO26, one of the most widely adopted vision AI model families, used by millions of developers and enterprises.

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The platform provides smart annotation, including manual labeling across detection, segmentation, classification, pose, and OBB tasks, plus SAM3 click-to-segment and YOLO smart annotation. Users can run cloud trainings on a range of GPU types, export models to more than 20 formats such as ONNX, TensorRT, CoreML, and LiteRT, and deploy models as scalable inference endpoints to edge locations worldwide.

Ultralytics offers a free plan with unlimited projects, model training, deployment, and community support, along with Pro and Enterprise tiers. Enterprise customers receive dedicated support, custom SLAs, flexible licensing, on-premises or private-cloud deployment, SSO/SAML, and access to models trained on over one million images, with ISO 27001 and SOC 2 compliance.

  • CategoryComputer Vision Tools
  • Pricing ModelFreemium
  • DeploymentCloud, On-premises
  • PlatformsWeb

  • End-to-end platform for annotation, training, and deployment

  • Smart annotation with manual labeling, SAM3, and YOLO auto-labeling

  • Cloud training on a wide range of GPU types

  • Model export to 20+ formats including ONNX, TensorRT, and CoreML

  • Deployment as scalable inference endpoints across 42 regions

  • Built on the widely adopted Ultralytics YOLO open-source framework

  • Monitoring dashboard for model performance, drift, and inference metrics

  • Enterprise governance with SSO/SAML, RBAC, and on-premises options

  1. Create a project: Organize your work into projects with datasets and models.

  2. Annotate data: Label images manually or use SAM3 and YOLO smart annotation.

  3. Train a model: Run cloud or remote training on your chosen GPU type.

  4. Export or deploy: Export to 20+ formats or deploy as inference endpoints across global regions.

  5. Monitor: Track model performance, drift, and inference metrics in the dashboard.

  • Data annotation
  • YOLO model training
  • Model deployment
  • Enterprise vision AI

From Ultralytics

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