Switching from Playment? Try V7
Create Ground Truth 10x faster with auto-annotation, manage your data in a few clicks, and build robust AI models in hours, not weeks.
Label data 10x faster with auto-annotate.
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.
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Manage your datasets from one place.
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.
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Train models and deploy AI in days, not weeks.
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.
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What makes V7 the right choice?
Migrate your data in minutes
Stories like these are why we exist
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.
Having accurately annotated datasets was crucial to catch the typical features of malignant melanoma. V7 lets us visualize the balance of this data across populations.
V7 is helping us manage a complicated, intricate, pixel-perfect labeling exercise. Their model-assisted labeling is the best around.
“Thanks to V7, the image annotation is 30% faster, but realistically, considering the whole process - transferring files and QA - we more than doubled the number of images we can do in the same span of time.”
"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. "
We were looking for an annotation tool that would be much faster, and V7 sped up our labeling 9–10x compared to VGG. The appeal of using V7 is that it’s commercial off-the-shelf, very intuitive, and easy to use for non-technical people involved in our project.
What I appreciate the most about V7 is flexible UI and API, responsive support, and active development of new features and bug fixes.
"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."
"I like the auto-segmentation feature. To me, that’s a nice AI feature that V7 took beyond the gimmick feature - it’s mature enough to be useful."
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.
"We use V7 to make our workflow for deep learning training and annotation streamlined and efficient. From the pathologist’s point of view, V7 turned out to be much easier to learn and use than other software - I can easily understand what I’m doing."
"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."
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