Label comprehensive 3D scenes from LiDAR or RADAR sensors, along with synchronized photo and video context, AI object tracking and point cloud segmentation.
Best-in-class toolset powered by state-of-the-art models for precise labeling.
AI-Assisted ToolsCreate precise 3D cuboids, detect ground, and convert 2D to 3D with a single click.
Explore AI-Assistance
Multi-frame episodesFull support of multi-frame sequential clouds, with AI tracking and timelines.
Explore Episodes
Popular and Custom FormatsSupports popular formats like KITTI 3D and ROS Bag — custom formats are easy to add.
Supervisely Ecosystem
Cuboids 
3D Detection 
3D Segmentation 
3D Tracking 
Ground DetectionDesigned specifically for 3D computer vision, Supervisely supports wide variety of tasks.
Boosted by GPU shaders, we enable smooth annotation even for high-resolution lidar scans.
Move and pin multiple camera views, photo context, use hotkeys, undo/redo and much more!
Boost annotation speed and quality with our built-in cutting-edge and easy-to-use models.
Stop wasting time manually adjusting cuboids in 3D space when AI can do it for you! It's so easy:
Inspired by Meta's SAM, we present Supervisely 3D Smart Tool: draw a circle around any object and AI will place a cuboid.
Find ground surface in one click using Patchwork++, GndNet, quantile filtering, ground plane fitting or grid-based slope filtering.
Annotate point clouds directly on attached camera images using familiar tools, with auto synchronization between 2D and 3D objects.
Familial ToolsUse bounding boxes, polygons, brush masks:
all with auto 2D-to-3D conversion.
2D Smart Tool for 3DUse our best-in-class Smart Tool on photo context to get perfect 3D labels.
Easy import and calibrationEasily attach camera views, even with existing labels in various formats.
Transfer color information from photo context images onto your 3D point cloud and point cloud episodes.
Automatically adjust 3D perspective view to match the exact camera position of the photo in a single click.
Full support of annotating multiple point clouds collected over time in a single dataset for tasks such as autonomous driving.
3D Cuboid TrackingAuto track selected object or everything on the screen across multiple frames.
No Pre-TrainingOur class-agnostic AI model requires no additional training to do the tracking.
Merge, split and copyBuilt-in easy tools to manage annotation objects that take multiple frames.
Easy navigation and review of frame availability, object presence, and annotation density.
Attach additional information to objects and point cloud, globally or on specific frame ranges.
Supervisely automatically calculates transformations to align multiple point clouds into a shared coordinate space.
From AI-powered 3D object detection to precise point cloud segmentation, from frame tagging to ground detection, Supervisely 3D Labeling Toolbox can do it!
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.
Dashboard to configure and monitor training
Understand how your model works on ground truth and new data and find how to correct negative output and increase performance.
Detailed statistics for all classes in images project
Generate synthetic datasets that drastically improve model results, especially when there is not enough ground truth.
Generate synthetic data: flying foregrounds on top of backgrounds
Perform all the necessary actions on your data, from importing and converting to skeletonization of masks and rasterization.
Configure, preview and split images and annotations with sliding window
Focus on labeling and let Supervisely do the rest.
Easy import and export, workspaces, backups, data insights and statistics
Teams with role-based access, issue tracking, comments, notifications
Avoid mistakes and don’t lose time with multi-level quality assurance process
Avoid mistakes and don’t lose time with multi-level quality assurance process
The list of features does not end here as we constantly extend Supervisely with applications, that improve both labeling and management of point clouds.
Learn about Supervisely Apps
Converts KITTI 3D format to Supervisely pointcloud format
Export project or dataset in Supervisely pointcloud episode format
Constantly growing ecosystem of hundreds of ready-to-use apps that extend and add new functionality.
Learn about EcosystemImpressed 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’ve been working together with Supervisely since 2020, and we have helped each other to grow rapidly and significantly.
Supervisely’s team has been incredibly fast and agile in taking on board our requirements and implementing useful, up-to-date computer vision functionalities. In addition, we appreciate the openness and scalability of their ecosystem combined with the Python SDK and API. So far, we have been very satisfied with the platform and the incredibly responsive team.
Working with Supervise.ly has significantly enhanced our capability to develop AI models for lung CT scans. What sets Supervise.ly apart is its exceptional support team who are really responsive and adapt to our unique needs with a range of apps and helper files.
Their team has developed updates driven by our specific user feedback, making Supervise.ly a critical component of our research ecosystem in generating the specific labels we need to provide AI-driven solutions. We are immensely grateful for their pivotal role in our work.
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
