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Data Labeling

Label computer vision datasets in the browser.

Upload images, draw annotations, organize classes, and prepare labels next to the Albumentations augmentation workflow.

Start labeling Open image library

Project workflow

Datasets, annotations, exports

Signed-in users can create persistent projects, manage datasets, annotate images, and export labels.

Open projects

Upload image datasets

Start from local files or reuse images already saved in your Albumentations account.

Create visual annotations

Draw boxes, polygons, lines, points, text labels, and whole-image tags in the browser.

Keep classes consistent

Manage class names, colors, annotation types, and hotkeys across a labeling session.

Export training data

Prepare labels for downstream computer vision workflows and model-training handoff.

Albumentations-aware

Built for augmentation workflows.

The labeling workspace is designed for image classification, object detection, segmentation, keypoints, and visual markup workflows that later feed augmentation, training, and deployment pipelines.

Explore transformsProduct roadmap