Ultralytics
End-to-end computer vision platform to annotate data, train YOLO models, and deploy globally.
About Ultralytics
Ultralytics is a unified, end-to-end computer vision platform for annotating image and video data, training YOLO models on cloud GPUs, and deploying them across global regions. It develops the widely adopted YOLO family of real-time vision models (YOLOv5, YOLOv8, YOLO11, YOLO26) supporting tasks like object detection, instance and semantic segmentation, classification, pose estimation, and oriented object detection. The platform offers smart annotation, experiment tracking, and export to optimized formats for edge, mobile, cloud, and embedded deployment.
Screenshots
Common Use Cases
- Training computer vision models
- Deploying object detection systems
- Managing and annotating vision datasets
- Experiment tracking
- AI in robotics (autonomous navigation, perception, object tracking)
- AI in logistics (package inspection, sorting, vehicle tracking, warehouse safety)
- AI in retail (inventory tracking, shelf monitoring, queue management)
- AI in healthcare (medical imaging, diagnostics, patient monitoring)
- AI in manufacturing (quality control, defect detection, PPE compliance)
- AI in automotive (road safety, driver assistance, vehicle automation)
- AI in agriculture (crop monitoring, livestock tracking, precision farming)
Details
- Pricing Model
- Freemium
- Category
- AI & Machine Learning
Key Features
- Smart annotation (bounding boxes, polygons, semantic masks, keypoints, oriented bounding boxes)
- SAM-powered one-click smart annotation
- Full AI task coverage: detection, instance segmentation, semantic segmentation, classification, pose, OBB
- Universal annotation format support (YOLO, COCO, and more)
- Team review and dataset versioning
- Cloud-accelerated training with 26 GPU configurations
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