Platform Capabilities
Engineered for Production Computer Vision.
From raw image ingestion and AI-assisted labeling to multi-reviewer quality gates, automated GPU training, and universal exports — everything vision teams need to ship models faster.
Smart AI Annotation & SAM 2
Accelerate labeling with Segment Anything 2 (SAM 2), prompt-based bounding boxes, polygon tools, and instant keybindings.
- 1-click SAM 2 mask generation
- Precise polygon & bbox tools
- Zero latency browser canvas
- Auto-prelabeling with cloud models
Dataset Management & Versioning
Organize, filter, and snapshot your image datasets. Maintain immutable version histories for reproducible training releases.
- Paginated visual image grid
- Filtered subsets (labeled / unlabeled)
- Immutable dataset version snapshots
- Class distribution & health metrics
Universal Export Formats
Export clean, validated datasets in COCO JSON, YOLO TXT, Pascal VOC XML, CVAT, and CSV formats with zero manual conversion debt.
- YOLOv8, YOLOv11 & YOLOv12 ready
- Normalized coordinate validation
- Custom train/val/test splits
- Category ID consistency checks
Cloud GPU Model Training
Train YOLO object detection and segmentation models directly inside LabelOp without managing local CUDA drivers or cloud VMs.
- 1-click YOLOv8 & YOLOv11 training
- Real-time mAP & loss curves
- Export ONNX, PyTorch & TensorRT
- Automated validation evaluation
Team Collaboration & Review Queues
Role-based workflows with Annotator, Reviewer, and Owner permissions. Multi-stage QA gates to ensure zero bad labels hit production.
- Dedicated review approval queue
- Inter-annotator agreement stats
- Audit logs & change history
- Granular member task assignments
Ready to accelerate your computer vision pipeline?
Start annotating in seconds. Free tier with full SAM 2 support, unlimited exports, and team collaboration.