Maintain temporal consistency while labeling full-length videos with advanced annotation tools, ensuring error-free annotations for AI models.
Leverage powerful tools like bounding boxes, polygons, polylines, keypoints, and semantic segmentation.
Multi-object tracking for seamless object movement labeling across your entire video timeline.
Choose from frame-by-frame or automated annotation options to fit your specific project needs.
Reduce manual effort with AI-powered annotation assistance, pre-labeling, and intelligent object tracking, allowing you to focus on refining your data rather than starting from scratch.
Use AI models to automatically generate initial annotations that you can review and refine.
80% time reduction in labeling
Customizable confidence thresholds
Support for multiple model types
Let AI handle object tracking across video frames, maintaining consistency throughout the sequence.
Real-time tracking updates
Occlusion handling
Multiple object tracking
Create workflows that match your specific project needs with flexible annotation processes.
Quality assurance steps
Multi-reviewer workflows
Annotation templates
Sort, filter, and manage vast volumes of video data with ease using quality metrics, metadata, and intelligent search to find the most valuable training data.
Granular filtering & sorting for faster data curation across large datasets.
Quality-based selection to prioritize the best data for your AI models.
Efficiently handle large-scale datasets without performance degradation.
Bounding boxes, polylines, keypoints, and more
Reduce manual work and speed up annotation
Preserve video context and improve efficiency
Customizable to fit your labeling process
Handle thousands of videos with ease