A data annotation workspace for your team. Review model predictions and turn expert corrections into training data.
Production teams and researchers build on DataTorch
Built for the images you work with.#
Microscopy, documents, aerial imagery, and everyday photos.
Imaging labs
Review multi-channel images with LUT controls and custom scoring labels.
KromaTiD scores production dGH assays on DataTorch.
Document analysis
Key–value extraction and expert review over forms, filings, and scanned records.
INPI runs document analysis on DataTorch.
Remote sensing
Detection, segmentation, and counting across aerial, drone, and satellite scenes.
Used in published work from the University of Arizona and in the International Journal of Remote Sensing.
General computer vision
Boxes, polygons, keypoints, and segmentation on ordinary photos and video frames, exported to COCO or YOLO.
Explore public annotation projects from the community.
Try your own images with a free private project.
01 / See it right
See the detail. Label what matters.
Annotate everyday photos and multi-channel microscopy. Adjust channel displays and use labels that fit your work.
02 / Improve your models
Your model predicts. Your team reviews.
Let your model take the first pass. Experts review and correct its predictions, producing training data for your next iteration.
- Exports: COCO · YOLO · JSON
- Pipelines rerun on every batch
03 / Own it
Keep control of your data and models.
Connect your S3, Azure, or Google Cloud storage. Run models on your own compute and export annotations in COCO, YOLO, or DataTorch JSON.
550+ public projects, built in the open.#
Explore public datasets, learn from other researchers, and share your own work. Public projects are free.
Unlimited public projects
On every plan, including Free.
Open to read
Public projects are browsable from any user or team profile.
Cited in published work
Document analysis, remote sensing, and apparel research.
Explore public projects
See it on your own images.
Start with a free private project, or book a demo to discuss your team’s images, models, and review workflow.
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Tools and community for image annotation: label, review, and share datasets, from everyday photos to the imagery only specialists can read.
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