3D LABELING TOOLBOX

AI-Powered Annotation for 3D Point Clouds

Label comprehensive 3D scenes from LiDAR or RADAR sensors with additional photo and video context, AI object tracking and point cloud segmentation.

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Trusted by Fortune 500. Used by 100,000+ companies and researchers worldwide

Overview

Ultimate Solution for Single-frame and Episode Clouds

Best-in-class toolset, accelerated by state-of-the-art models for pixel-accurate labeling.

cloud-storage AI-Assisted Tools

Create precise 3D cuboids, find ground and convert 2D objects to 3D in one click.

Explore AI-Assistance
key Multi-frame episodes

Full support of multi-frame sequential clouds, with AI tracking and timelines.

Explore Episodes
multiple-inputs Popular and Custom Formats

Huge collection of popular import formats like KITTI 3D or ROS Bag, easy to add custom.

Supervisely Ecosystem
video-stabilization Cuboids video-stabilization 3D Detection cleanup-edges 3D Segmentation polyline 3D Tracking polyline Ground Detection

Support of Every 3D Task

Designed specifically for 3D computer vision, Supervisely supports wide variety of tasks.

50M+ Points in your Browser

Boosted by GPU shaders, we enable smooth annotation even for high-resolution lidar scans.

Modular & Flexible UI

Move and pin multiple camera views, photo context, use hotkeys, undo/redo and mny more!

AI-Assistance

Auto Labeling and Smart Tools

Boost annotation speed and quality with our built-in cutting-edge and easy-to-use models.

Auto 3D Cuboids

Stope wasting time manually adjusting cuboids in 3D space when AI can do it for you! It's so easy:

  • Click on the interesting object
  • AI models automatically adjust cuboid size to fit target object perfectly
  • Episodes Move to the next frame and see how model continues the cuboid

Magic Lasso for 3D

Inspired by Meta's SAM, we present Supervisely 3D Smart Tool: draw a circle around any object and AI will place a cuboid.

Auto Ground Segmentation

Find ground surface in one click using Patchwork++, GndNet, quantile filtering, ground plane fitting or grid-based slope filtering.

Photo Context

Interactive Camera Editor

Annotate point clouds directly on attached camera images using familial tools, with auto synchronization between 2D and 3D objects.

cloud-storage Familial Tools

Use bounding boxes, polygons, brush masks:
all with auto 2D-to-3D conversion.

key 2D Smart Tool for 3D

Use our best-in-class Smart Tool on photo context to get perfect 3D labels.

multiple-inputs Easy import and calibration

Attaching camera views even with existing labels in various formats.

Colors from Camera on Point Cloud

Transfer color information from photo context images onto your 3D point cloud and point cloud episodes.

Align 3D Perspective and Camera Views

Automatically adjust 3D perspective view to match the exact camera position of the photo in a single click.

Episodes Workflows

Multi-Frame Point Clouds

Full support of annotating multiple point clouds collected over time in a single datasets for tasks such as autonomous driving.

key 3D Cuboid Tracking

Auto track selected object or everything on the screen across multiple frames.

cloud-storage No Pre-Training

Our class-agnostic AI model requires no additional training to do the tracking.

multiple-inputs Merge, split and copy

Built-in easy tools to manage annotation objects that take multiple frames.

Timeline Panel

Easy navigation and review of frame availability, object presence, and annotation density.

Global and Frame-based Tags

Attach additional information to objects and point cloud, globally or on specific frame ranges.

After image
Before image

Cloud Registration Algorithms

Supervisely automatically calculates transformations to align multiple point clouds into a shared coordinate space.

Even more features

All the right tools for PROs

From AI-powered 3D object detection to precise point cloud segmentation, from frame tagging to ground detection, Supervisely 3D Labeling Toolbox can do it!

Neural Networks

Ultimate ecosystem for AI

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.

Train state-of-the-art models in browser

Learn more

Configure every aspect of training from target classes to online augmentations, monitor metrics and terminal logs in real-time.

Noticeable example app:

Visualize, analyze and improve performance

Learn more

Understand how your model works on ground truth and new data and find how to correct negative output and increase performance.

Noticeable example app:

Apply models in various scenarios and interfaces

Learn more

Put pre-trained or custom neural network models to use in labeling interfaces to archive extraordinary results.

Noticeable example app:

Boost training with synthetic data

Learn more

Generate synthetic datasets that drastically improve model results, especially when there is not enough ground truth.

Noticeable example app:

Query and transform, run augmentations

Learn more

Perform all the necessary actions on your data, from importing and converting to skeletonization of masks and rasterization.

Noticeable example app:

Supervisely Apps

Boundless customization and
more point clouds features

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

First OS for Computer Vision

Constantly growing ecosystem of hundreds of ready-to-use apps that extend and add new functionality.

Learn about Ecosystem

OTHER LABELING SUITES

Not just 3D

Impressed by what you just read, but want to label other type of data? Check what else we have!

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Images

Professional tools and AI segmentation for image labeling.

Learn more
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Videos

Object tracking, live transcoding and hours-long video files.

Learn more
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DICOM

Multi-slice labeling, 3D volumes interpolation and HIPAA complacency.

Learn more

SUPERVISELY FOR ENTERPRISES

On-premise edition built for your business

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
  • Maximum security: hosted behind firewall on your servers with advanced governance and privacy settings
  • Effortless integrations: single sign-on with LDAP or OpenID, cloud storage in AWS or Azure and powerful API & SDK
  • Priority support: dedicated slack chat, guided onboarding and personalized training sessions with experts
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#support
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Team Manager 17:33
Hello @supervisely! Is there a way to create a project via API?
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Supervisely 17:35
Sure thing, check out this page!

Here’s why our customers trust us

Engie customer testimonial
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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.

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Dmitriy Slutskiy
PhD Research Engineer
BMW customer testimonial

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.

Surgar customer testimonial
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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.

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Julien Peyras
Director of Data Science Department
UCD customer testimonial
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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.

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Katie Noonan
AI Research Engineer
Resson customer testimonial
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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.

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Travis Prosser
Engineering Specialist
Toadi customer testimonial
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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.

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Mike Slembrouck
CTO

8

years

Supervisely provides first-rate experience since 2017, longer than most of computer vision platforms over there.

100,000+

users

Join community of thousands computer vision enthusiasts and companies of every size that use Supervisely every day.

1,000,000,000+

labels

Our online version has over a 220 million of images and over a billion of labels created by our great community.

Trusted by Fortune 500. Used by 100,000+ companies and researchers worldwide

Contact Us

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Speak with people who are on the same page with you. An actual data scientist will:

  • Show live demo
  • Go through the concepts
  • Learn your case
  • Offer a tailored solution

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