The AI Data Engine to
Solve any labeling task 10x faster with an API for image annotation and dataset management
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100+
companies
Solve any labeling task 10x faster with an API for image annotation and dataset management
We label terabytes of data and from the operations perspective, the scale of the projects requires a reliable training data platform like V7 to succeed.Read case study ->
After conducting an extensive research of annotation tools, we chose V7 as it fits our needs best due to its customizable workflows and automated QA.Read case study ->
We use V7 to make our annotation and model training workflows more efficient. It's much easier to use than other software thanks to its intuitive UI.Read case study ->
Help your machine learning teams keep track of their most valuable assets. Ensure your team understands your labels and edge cases.
Perform actions on your assets via a CLI/SDK rather than the UI. Create, manage, export, and import your datasets and data conveniently with a single command.
Upload your video data or ultra-high resolution images—browse and annotate them using one platform. V7 supports JPG, PNG, TIF, MP4, MOV, SVS, DICOM, and more.
Stay on top of your annotation versions. Reference each model to a dataset version as your datasets keep growing.
Instantly preview all images and videos thanks to a highly efficient Elixir architecture. Filter by upload time, labeler, tag, class, or progress.
Create pixel-perfect annotations on any data format with class-agnostic, automated tools. Boost your annotation speed by up to 10x.
Create pixel-perfect polygon masks using V7's class-agnostic neural network — instantly and without prior training. All you need to do is click on object parts to either include or exclude them. Fine-tune your model once you gather enough training data.
Easily annotate all Video, Image, and Text data. Choose from a variety of tools, such as polygons, brush, or bounding boxes. Solve any CV task from image classification to instance segmentation to object tracking and more.
Track the time spent, see how many annotations are created per minute, check the total number of labeled images, monitor accuracy, and more. No matter if you have 10 or 1,000 labelers.
Annotate images in collaboration with other users and add multiple labels to a single video or image simultaneously. Communicate in real time to make sure your labels are accurate and all team members know what the ground truth looks like.
Experience V7’s powerful model training and automated labeling capabilities. Use our pre-trained models or bring your own.
Customize your workflows quickly and flexibly. Add annotations manually, include the model stage to automate parts of or the entire labeling process, decide when reviewers step in—see what works best for you.
Turn your images or datasets into models on V7. At a click of a button.
If you have a repository of your own models, you can easily upload them to the V7 platform’s storage and keep them in order.
Keep all your company models in one place. Deploy them for model-assisted labeling tasks or use them to train new AutoML models.
Automate your workflows while making sure the right task gets assigned to the right person. Eliminate spreadsheets, data leaks, or quality control issues.
Entrust your training data to expert labelers. V7 gives you access to 5,000+ highly trained annotators who know the platform inside out. They’ll help you scale your project while following top-quality standards.
Medical, scientific, agricultural, construction, or autonomous driving projects? You name it! We collaborate with experts from a variety of industries to ensure data accuracy and reliability.
Working on sensitive data? V7 lets you assign tasks to specific labelers and make them only see the task at hand. Our platform is SOC2, HIPAA, and ISO27001 compliant.
Cooperate with a dedicated V7 project manager. Design the most effective and efficient workflows and set your quality standards. The manager will see to it that all deliverables match your expectations.
Discover how other AI-first companies solved knowledge tasks at scale with V7
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