Create the Sense of Sight


Image and video datasets becomes collaborative projects for your organization. Filter, tag, and sync data via the API or our beautifully intuitive interface.

Butter smooth browsing

We are serious about presenting your data with no loading times. Uploads, filters, and search queries will always be delivered in real-time, no matter how large your dataset.

Format friendly

DICOM, .TIF, .MOV, or other uncommon formats are welcome! From electron microscopes to 4k cameras, most image data will work on V7.

Annotate, train, export, collaborate, and share

Datasets are at the core of your AI projects - use them to train networks, iterate new versions to improve performance, grow them with your team, or share them with the wider community.


V7 was built in Elixir, an Erlang-based language to handle massive scale concurrency between millions of users moving billions of images.
Whether you are uploading, exporting, annotating, or partitioning, your data will always be swiftly available.

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manage their datasets on V7 Darwin


Tell your AI what to learn using a generalized model that works perfectly on every object. Label with any annotation type, from anywhere, securely.


Save up to 90% of your annotation time while matching human performance. V7's Auto-Annotate tool works on any object, big, small, partial, or compound. See for yourself to believe.

Quality Review

Easily customize workflows by adding multiple annotation stages, reviews, or define chances of random sampling for specific QA steps.

Outsource or BYO

Upload your data and let us take care annotations through experienced workforce partners. You can track its progress and quality and train automation models on it as it grows.
If you have your own team of annotators, you can add them all, for free, with no limitations.

Expandable Tools

Tags, bounding boxes, polygons, masks, directional vectors, keypoint skeletons, attributes and more are available from the get-go.
V7's toolkit keeps expanding (see our changelog!). You can integrate new tools as plugins.

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create pixel-perfect ground truth on V7 Darwin


Train and run state of the art neural networks from a web dashboard. Deep learning inference has never been easier.

Leapfrog your models

Vision AI is changing. Leverage an extensively pre-trained backbone to enable your model to learn with very few training samples.

Infer and Annotate

Your product is now your model-in-the-loop. Use your trained model as a labelling stage and let humans fill in the gaps.

Upload your own!

Trained your own Pytorch or ONNX model? Host it on V7's NJORD GPU engine to guarantee 99.99% uptime and infinite scalability. Zero dev-ops engineers needed.

Launch your product

Neural networks instantly turn into a REST API to call from any device you wish.

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automate their work through V7Darwin

You are in good company

See What's Possible

Over 1,000 teams on V7 are giving human-like sight to devices. Here is what they built.

life sciences AI

Life Sciences


Cells, microorganisms, clusters, in bright and dark microscopy
Learn More


Liquid levels and impurities
Learn More
Manufacturing computer vision


Defect Inspection

Small and uncommon defects
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Materials Science

Rust, wear, and materials analysis
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Protocol Logging

Assembly step sequence understanding
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Agri Tech computer vision


Plant & Field Agriculture

Plant growth and yield
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Livestock & Wildlife

Livestock and wildlife health
Learn More


V7 Labs & CloudFactory Release Annotated X-Ray Dataset to Aid in COVID-19 Research


“There isn't a labeled dataset of this level of scale and diversity out there,’’ says Rizzoli, the co-founder of V7. “What we've seen is companies have rushed to the media to publish results on models that use the whole picture of an X-ray and perform classification.”

7 Things We Looked for in a Video Labelling Tool

Towards Data Science
Alberto Rizzoli

In July 2020, V7 Labs released its video annotation tool. This was part of a 6 month development journey. Here’s what we had to look out for, which will inevitably affect the quality of your machine learning projects.

Merck KGaA Partners With Startup for Image Tagging Software

Jeremy Kahn

Merck KGaA, the German pharmaceutical and chemicals company, is teaming up with a London-based startup called V7 to create software that scientists can use to tag images for future use in training artificial intelligence software.

AI in Health Diagnostics: Medical Image Dataset Annotation

V7 Blog
Alberto Rizzoli

How to Label Medical Images for Machine Learning. Radiologists annotate (or markup) medical images on a daily basis. This can be done in DICOM viewers, which contain basic annotation capabilities such as bounding boxes, arrows, and sometimes polygons.

Ready to get started?

Schedule a demo with our team or discuss your project.

Image & Video Annotation

A user experience crafted for professionals, with built-in automation, and supporting every tool and image data format.