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 supported. 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.

GE HealthcareGNF Novartis logoNIH, National Institute of Health logo

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 our professional workforce. You can track its progress and quality and train  models to automate part of the task.
If you have your own team of annotators, you can add them all too!

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!).

Merck logoCloudFactory logoHoneywell logo computer vision AI

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 100 training samples, and automate your task.


Use models to label any object by mapping their classes to your dataset's.

Pick any model to pre-process datasets by adding the classes that matter to you.

ML-Ops as a service

V7's GPU orchestration grants 99.99% uptime and infinite scalability. Zero dev-ops engineers needed.
Host hundreds of models and run them on demand in one click.

Run it as a product

Neural networks instantly turn into a REST API to call from any device you wish. Combined with workflows, you can develop complex multi-model products in a few clicks.

Miele logo

automate their work through V7Darwin

You're 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


Understanding safe laboratory practice
Learn More
Manufacturing computer vision


Defect Inspection

Small and uncommon defects
Learn More

Asset Inspection

Rust, wear, and materials analysis
Learn More

Kitting and Picking

Assembly step sequence understanding
Learn More
Agri Tech computer vision


Plant & Field Agriculture

Plant growth and yield
Learn More

Livestock & Wildlife

Livestock and wildlife health
Learn More


V7 Labs raises $3M to help AI teams ‘automate’ training data workflows

Steve O'Hear

Leading the seed round is Amadeus Capital Partners, with participation from Partech, Nathan Benaich’s Air Street Capital and Miele Venture Capital.

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.

V7 is the 2021 CogX award for Best AI product in Healthcare


Millions of medical images were processed by AI and human doctors this year so far. V7 win's the UK's most prestigious AI conference award.

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.