Create Ground Truth 10x faster with auto-annotation, manage your data in a few clicks, and build robust AI models in hours, not weeks.
V7 comes with a powerful auto annotation that allows you to automatically generate polygon and pixel-wise masks. Speed up your annotation time by up to 90% by using AI models to supervise your training data.
Take full control of your data with V7. Load any image or video format, track progress, and use advanced filters to keep your data organized and easy to find for everyone on your team.
Turn your labeled data into ML models and use them to automatically label more data. Create and manage annotation workflows, collaborate in real-time, and generate Ground Truth faster.
V7 is super sleek, intuitive, and easy to use. Within a couple of minutes, you're off to the races and can annotate quickly. The team is highly responsive and helpful.
"V7 is really easy to use. It looks good and feels good. The other great thing is the customer support - bugs are fixed, email support is very fast, and feature requests are delivered as promised."
What I appreciate the most about V7 is flexible UI and API, responsive support, and active development of new features and bug fixes.
"V7 did everything that we wanted—it enabled us to label videos in the way we needed, the turnaround time for new features was really fast, and the reviewing and sorting process was much better."
V7 is helping us manage a complicated, intricate, pixel-perfect labeling exercise. Their model-assisted labeling is the best around.
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models. V7 met our needs."
"Visibility on metrics and annotators' work in V7 is very helpful to us, and it's something we didn’t have in our internal solution. The option to check past annotations and review the work is also valuable, along with V7’s ability to interactively define the workflows and the flexibility in task assignment."
Managing our data from one place is particularly important for us. Previously, our data was stored in many different formats and in different places. Having a single source makes our data more robust and also greatly reduces the development time for new algorithms, as the learning curve for developers is small.
"We needed a tool that lets us keep the data in one place, annotate and version it. Having found V7, we decided not to build the internal solution. "
Join hundreds of the world's leading machine learning teams using V7 to seamlessly manage their projects.