Create the Sense of Sight

Organize

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.

Unbreakable

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

Annotate

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

Auto-Annotate

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!).

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create pixel-perfect ground truth on V7 Darwin

Automate

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.

Any-to-Any

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.

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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

Microscopy

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

GLP

Understanding safe laboratory practice
Learn More
Manufacturing computer vision

Manufacturing

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

Environmental

Plant & Field Agriculture

Plant growth and yield
Learn More

Livestock & Wildlife

Livestock and wildlife health
Learn More

News

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.

Orchestrating computer vision with Elixir at V7 - By José Valim, creator of Elixir

José Valim

Founded in 2018 by Alberto Rizzoli and Simon Edwardsson, V7 uses Elixir, Phoenix, and Cowboy to power their web platform, responsible for managing large amounts of data and orchestrating dozens of Python nodes to carry out machine learning jobs.

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.