Collaborate together with your team to transform existing assets into labeled data, trained models and deployed solutions.
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
Protect your data and users with ACL, permissions and other security features.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.
BMW Group is using the Supervise.ly solution to create automated verifications for ensuring a very high product quality across the whole production chain in vehicle and vehicle component manufacturing.
BMW Group uses Supervise.ly to annotate manufacturing images from production lines in their world-wide plants for enhancing quality inspections using deep learning. The Supervise.ly tooling also supports the process for continuously updating AI models using semi-automated labeling.
Supervise.ly is integrated into the BMW Group AI Platform in order to empower computer vision based AI use cases.
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.
We have been using Supervisely for a few years now to help label and organize our data for AI training. The interface is user-friendly and the tools are intuitive to use, which has made the annotation process much more efficient for our team. We run Supervisely locally, which allows us to stay in control of our data. We also use Supervisely for annotation reviews, and the review tools have been invaluable in ensuring the quality and accuracy. The Python SDK has also been incredibly helpful in automating and streamlining our workflow. In addition, the support team on Slack has been extremely helpful and responsive. The ability to collaborate with my colleagues on the same project has also been a huge time-saver.
Overall, we have been extremely satisfied with Supervisely and would highly recommend it to anyone in need of a reliable and efficient annotation solution.
Supervisely provides first-rate experience since 2017, longer than most of computer vision platforms over there.
Join community of thousands computer vision enthusiasts and companies of every size that use Supervisely every day.
Our online version has over a 220 million of images and over a billion of labels created by our great community.
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