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 ->
Fuel the speed and accuracy of your annotations with our enhanced AutoAnnotate feature. Rapid, precise, and built to scale.
Create high-speed polygon masks that won’t compromise on quality. Fuel your labeling with our powerful Autolabel feature, enhanced object recognition, and adaptive learning.Explore the Annotation Suite ->
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.Explore the Annotation Suite ->
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.Explore the Annotation Suite ->
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.Explore the Annotation Suite ->
Help your machine learning team 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 through the UI. Create, manage, export, and import your datasets conveniently with a single command.Explore Model Management ->
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, NIfTI and more.Explore Dataset Management ->
Stay on top of your annotation versions. Reference each model to a dataset version as your datasets keep growing.Explore Dataset Management ->
Instantly preview all images and videos thanks to a highly efficient Elixir architecture. Filter by upload time, labeler, tag, class, or progress.Explore Dataset Management ->
Whether you’re bringing your own, or using our pre-trained models, add models to your data workflows to surface edge cases and automatically label data.
Quick, flexible, and fully customizable: whether you’re annotating manually or using models, build an efficient assembly line for your training data.Explore Model Management ->
Turn your images or datasets into models on V7. At a click of a button.Explore Model Management ->
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.Explore Model Management ->
Keep all your company models in one place. Deploy them for model-assisted labeling tasks or use them to train new AutoML models.Explore Model Management ->
Say goodbye to spreadsheets, data leaks and quality control issues. We allow you to automate your workflows while ensuring the right task is assigned to the right person.
We give you access to over 5000+ expert labelers, who know the platform inside and out. Better yet, they care about the precision, pace, and performance of your project just as much as you do.Bring Humans into the Loop ->
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.Bring Humans into the Loop ->
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.Bring Humans into the Loop ->
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.Bring Humans into the Loop ->
Send tasks to other ML-Ops platforms, host data privately in your enterprise cloud storage, and load datasets into your deep learning framework of choice. Unleash the potential of your project with a thriving ecosystem at your disposal.