Powerful labeling tool for Computer Vision.
Label your way to better datasets.
Label effortlessly with a world-class annotation UI
Scale your annotation projects with robust tools that anyone can master. Packed with workflow enhancers like integrated issue threads, image augmentation, default classes, and custom tags for capturing information or reminders, our tools help you get the most out of your labelers and subject matter experts.
Annotate training images faster
Prepare and enrich datasets while handling volume increases with ease with an ergonomic image annotation app that makes manual labeling more productive than ever.
Image classification : Organize images with customizable categories
Bounding boxes : Identify objects of interest with rectangles and squares
Polylines : Annotate lines and create straight shapes and outlines
Polygon segmentation : Capture irregular shapes and course objects
Keypoints : Mark and connect individual points within an image
Turn complex videos into high-precision training data
Label your videos faster and transform dynamic moving scenes into recognizable intelligence for your computer vision applications with a powerful video annotation app.
Upload : Supports both raw video and image sequences
Navigation : Go frame-by-frame, skip frames, and adjust speed seamlessly
Video classification : Organize by frame, selected scenes, or entire clips
Toolkit : Draw bounding boxes, polygons, and keypoints whenever needed
Object tracking : Duplicate and adjust annotations between frames
Designed for High-Speed,
Create clear-cut image and video annotations for training your custom automation model, hyperparameter tuning, and performance estimation.
Upload your data to manually annotate everything from edge cases to whole projects fast with comprehensive and user-friendly tools.
Share annotation requirements, assign tasks, communicate in-app, and collaborate on everything from entire datasets to individual labels.
Manual shouldn’t be synonymous with tedious. Use customizable hotkeys and shortcuts to minimize steps and do more faster.
Do everything from annotating your first video to validating your 50th dataset right within your browser, meaning you can label on virtually any operating system.