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Ultralytics

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End-to-end computer vision platform for annotating data, training YOLO models, and deploying vision AI across industries and devices.

Site Internet :https://www.ultralytics.com/
Ajouté :13 juil. 2026
Visiteurs mensuels :
952.1K
Réseaux sociaux et e-mail :
computer visionYOLOobject detectioninstance segmentationpose estimationdata annotation
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Ultralytics
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Informations sur l’outil

Qu'est-ce que Ultralytics ?

Ultralytics is a unified end-to-end computer vision platform that lets teams annotate image and video data, train Ultralytics YOLO models, and deploy them to cloud, edge, mobile, and embedded environments. It supports detection, segmentation, classification, pose estimation, and related vision tasks for developers and enterprises across industries.

Fonctionnalités principales

  • Smart Annotation

    Label images and videos with bounding boxes, polygons, semantic masks, keypoints, and oriented bounding boxes across detection, instance segmentation, semantic segmentation, classification, pose, and OBB tasks. Includes SAM-powered one-click masks, universal format support, plus team review and versioning.

  • Cloud-Accelerated Training

    Train models on 22 high-performance cloud GPU configurations with native support for Ultralytics YOLOv5, YOLOv8, YOLO11, and YOLO26. Offers live training metrics, experiment comparison, a no-code interface, or full Python SDK control.

  • Global Deployment and Export

    Deploy with auto-scaling across 43 global regions and real-time inference monitoring, or export to 18 optimized formats including ONNX, TensorRT, CoreML, LiteRT, and QNN for edge, mobile, and embedded devices with cloud, edge, or hybrid flexibility.

  • Ultralytics YOLO Vision Models

    Support object detection with axis-aligned boxes, instance segmentation with pixel-precise masks, semantic segmentation, image classification, pose estimation with body keypoints, and oriented object detection with angle-aware boxes.

Cas d'utilisation

  • #1

    AI in Robotics

    Enable autonomous navigation, perception, object tracking, and real-time control for smarter machines using Ultralytics YOLO models.

  • #2

    AI in Logistics

    Support package inspection, sorting, vehicle tracking, and real-time warehouse safety monitoring.

  • #3

    AI in Retail

    Power inventory tracking, shelf monitoring, queue management, and customer insights.

  • #4

    AI in Healthcare

    Enable faster medical imaging, smarter diagnostics, and patient monitoring.

  • #5

    AI in Manufacturing

    Drive quality control, defect detection, PPE compliance, and assembly line automation.

  • #6

    AI in Automotive

    Support road safety, driver assistance, and vehicle automation applications.

  • #7

    AI in Agriculture

    Enable crop monitoring, livestock tracking, and precision farming for higher yields.

Idéal pour :DevelopersEnterprisesIndustry teams in robotics, logistics, retail, healthcare, manufacturing, automotive, and agriculture

Plans tarifaires

Official site links to Pricing and Licensing pages and includes a Request license call-to-action, but no specific pricing tiers, costs, or plan details appear in the provided source snapshots.

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Foire aux questions

What is Ultralytics?
Ultralytics is an end-to-end computer vision platform for annotating image and video data, training Ultralytics YOLO models, and deploying vision AI to cloud, edge, mobile, and embedded environments for detection, segmentation, classification, pose, and related tasks.
What annotation capabilities does Ultralytics offer?
It supports labeling images and videos with bounding boxes, polygons, semantic masks, keypoints, and oriented bounding boxes across detection, instance segmentation, semantic segmentation, classification, pose, and OBB tasks, including SAM-powered one-click masks, universal format support, and team review with versioning.
Which YOLO models are supported for training?
The platform offers native support for Ultralytics YOLOv5, YOLOv8, YOLO11, and YOLO26, with options for cloud GPU training, live metrics, experiment comparison, no-code interface, or Python SDK control.
Where can Ultralytics models be deployed?
Models can be deployed with auto-scaling across 43 global regions with real-time monitoring, or exported to 18 optimized formats such as ONNX, TensorRT, CoreML, LiteRT, and QNN for edge, mobile, and embedded devices, with cloud, edge, or hybrid flexibility.
Which industries use Ultralytics?
It supports solutions for robotics, logistics, retail, healthcare, manufacturing, automotive, and agriculture, including tasks like autonomous navigation, package inspection, inventory tracking, medical imaging, quality control, driver assistance, and crop monitoring.
Is pricing information publicly available?
Specific pricing tiers, costs, or plan details are not clearly published by the official source. The site links to Pricing and Licensing pages and offers a Request license option.
How can I contact Ultralytics?
You can reach Ultralytics by email at hello@ultralytics.com or through the contact page at https://www.ultralytics.com/contact.

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Informations sur l’outil

Modèle tarifaireUnknown
CatégorieOutils de détection
Tags
computer visionYOLOobject detectioninstance segmentationpose estimationdata annotation
LangueAnglais
Dernière mise à jour16 juil. 2026
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