Research · DataTorch

Free for open research. Unlimited public projects.

Build and share annotated imaging datasets in the open — no seat count, no trial clock. Researchers at Stanford, Berkeley, ETH Zürich, Georgia Tech, NUS, and Sydney build on DataTorch, and published work spans document analysis, remote sensing, and apparel.

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Production teams and researchers build on DataTorch

What Free includes

Everything you need to build in the open.

Unlimited public projects — no seat count, no trial clock

Annotation and multi-channel LUT image review

Pipelines and model agents on your own compute

GraphQL API and Python SDK

Schema-driven exports of your annotations and images

On Free, in the fine print

1 private project, with 1 dataset in it

No private-project collaborators

1 org member

When you need private, see pricing

Research

Used in published research.#

Beyond our customers, teams at universities and research institutes build on DataTorch in peer-reviewed work — across document analysis, remote sensing, and more. A few examples:

Document & form analysis

Form-NLU: Dataset for the Form Language Understanding

Ding et al. · University of Sydney · SIGIR 2023

Synthetic Data for Applications in Document Analysis

Muth · TU Wien · 2023

Remote sensing & aerial imagery

Saguaro Recognition from Drone Imagery Using Mask R-CNN in Detectron2

Luo et al. · University of Arizona · Preprints 2024

Improving object counting in aerial images with density-based threshold shifting

Int. Journal of Remote Sensing · 2023

Fashion & apparel imagery

A Robust Approach for Categorizing and Fine-Grain Classification of Indian Ethnic Wear

Kumar et al. · National Institute of Fashion Technology · Springer 2024

By domain

Where researchers go deeper.

Document analysis

Annotation and key–value extraction over forms, filings, and records — with published work from the University of Sydney and TU Wien.

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Remote sensing

Detection, segmentation, and counting across aerial, drone, and satellite imagery, used in peer-reviewed research.

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Built in the open

Share datasets, not just papers.

Public projects are browsable from any user or team profile, so the dataset behind a result is there for the field to inspect and build on. Pull any project down through the Python SDK and keep working locally.

Public by default

Unlimited public projects on every plan, browsable without a sign-in.

Real imaging review

Multi-channel image display and per-channel LUT control, not just boxes.

Pull it with the SDK

The Python SDK and GraphQL API reach every project and dataset.

When your lab needs to go private.

Private projects, unlimited collaborators, and cloud storage connections come with Team. Cytogenetics and other imaging labs have a page of their own.

See pricing For imaging labs

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See it on your own images.

Start free on our hosted cloud, private project included. Or book 30 minutes to scope an on-prem or bring-your-own-cloud deployment — no slides either way.

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The annotation platform for specialized imagery — review, score, and share datasets your team works from.