Of course, a key component of any collaboration: simulations access to your assets.
Any large project is impossible to complete single-handedly. Supervisely provides a complete platform built specifically for computer vision team collaboration, where labelers, AI researchers, project managers and machine learning engineers.
We thought about secure access, powerful data management features so you can focus and what’s really important.
No need to install an additional software for your labelers and other team members — just open your Supervisely web-address in your browser and you are ready to go!
A quick and easy way to share and clone your assets. Choose if you want the link to be active just a single time for additional security.
Annotate your assets together at scale.
A built-in issue tracking includes comments, available right inside the labeling interface. Chat on what needs improvement to deliver quality results faster.
Supervisely supports parallel annotation of hundreds of people at the same time though labeling jobs.
Select whether labelers can see each other annotations and tags, automatically split dataset between multiple people randomly or via various criteria, such as presence of tags.
When your annotation needs cannot be satisfied with workforce inside your organization, it’s time to seek help somewhere else.
Luckily, with Supervisely you don’t have to export your existing assets, send them and upload back — just invite outside collaborators to your team with curtailed access rights, relax, and watch labeling progress.
Easy import and export, workspaces, backups, data insights and statistics.Learn more
Avoid mistakes and don’t lose time with multi-level quality assurance process.Learn more
A fully customizable AI infrastructure, deployed on cloud or your servers with everything you love about Supervisely, plus advanced security, control, and support.Start 30 days free trial➔
We use Supervisely since 2019. The key advantage of this tool is that Supervisely provides a complete data treatment pipeline. An important advantage is that a Supervisely instance can be deployed autonomously on a Client infrastructure, and distributed on different servers.
It helps to treat enterprise’s internal and often confidential data in a secured way. Together with a user-friendly interface, a clear documentation and a friendly and reactive support team it helps us to do Data Scientist work better and faster.”
We originally set out to look for tools that could help us with data annotation, and we discovered that Supervisely excels at that and much more. It has become an integral part of our workflow in annotation, model training, and evaluation.
We've been exceedingly impressed with the customer support, addition of new features, and the flexibility of the publicly available SDK/API. The Supervisely team has also been fast to respond to support questions, and has shown a lot of openness when given feedback on potential improvements.
Speak with people who are on the same page with you. An actual data scientist will:
Get accurate training data on scale with expert annotators, ML-assisted tools, dedicated project manager and the leading labeling platform.Order workforce