Label volumetric medical scans from CT and MRI in 2D or 3D with professional viewer, advanced editing tools and AI enhancements.
Full variety of instruments from our best-in-class image labeling toolbox — plus, extra tools for medical imaging, like window adjustments.
Supervisely provides well-known intuitive interface to view and manipulate volumetric medical images in multiple projections and slices with expert features medical professionals are used to.
We believe professional tools don't have to be complicated.
Supervisely runs even on old machines because it makes use of hardware acceleration and efficiently loads images into RAM.
Simply drag & drop individual medical images in DICOM format, DICOM directory files or just common graphics like tiff and bmp.
Supervisely can open compressed and lossless studies produced by different medical equipment including CT, MRI, CR, US...
Essential tools for annotation of multi-slice series in coronal, sagittal, axial planes.
More features for increased efficiency and productivity.
Companies working with protected health information provide extra requirements when it comes to user information privacy, data security and organization polices.
Our platform and team will help you continually maintain HIPAA compliance with build privacy and security policies, including:
To better understand about how Supervisely protects your data and users security please see our security and permissions page — or feel free to get in touch with us and chat about it with our experts!
Because Supervisely is built like OS for computer vision, we made possible integration of the best machine learning models and tools on a single platform.
You will find a well-known projects from data science community, as well as our own Apps, providing a complete solution for entire AI development pipeline.
Configure every aspect of training from target classes to online augmentations, monitor metrics and terminal logs in real-time.
Understand how your model works on ground truth and new data and find how to correct negative output and increase performance.
Put pre-trained or custom neural network models to use in labeling interfaces to archive extraordinary results.
Generate synthetic datasets that drastically improve model results, especially when there is not enough ground truth.
Focus on labeling and let Supervisely do the rest.
Collaborate together with your team to transform existing assets into labeled data, trained models and deployed solutions. Supervisely helps to organize work of different professionals: labelers, data scientists, domain experst, managers and engineers.
The list of features does not end here as we constantly extend Supervisely with applications, that improve both labeling and management of medical imaging.
Constantly growing ecosystem of hundreds of ready-to-use apps that extend and add new functionality.Learn about Ecosystem
Impressed by what you just read, but want to label other type of data? Check what else we have!
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