The complete annotation platform for

3D Point clouds

3D data is difficult to navigate and even more difficult to annotate. Mindkosh makes it quick and easy with smart tools built to produce high quality annotations.

Mindkosh LIDAR annotation tool
LIDAR Sensor fusion annotation

A Comprehensive annotation solution for Sensor fusion

Camera image projection

Add as many camera images with each point cloud frame as you want. All annotations are automatically projected onto images to produce the highest quality annotations.

Object tracking

Track objects across sensors as well as across time with consistent object IDs across all modalities.


Your data comes in different formats. Whether its LIDAR or RADAR, we support all major formats and cameras.

Cuboid annotation in just 1 click!

Here's something you will love! Click anywhere within the object of interest, and a cuboid will be drawn around it automatically.

Find the object of interest

Locate the object in the point cloud scene. Use your mouse or keyboard to easily move around the scene.

Click anywhere within the object

Find a point that lies within the object. Make sure the point actually lies in the object and not something behind it.

You're done!

The cuboid is drawn! The tool also predicts the orientation of the object so there is no need to rotate the cuboid.

Point cloud Segmentation

Traditional methods of using brushes to select points can be error prone. With our lasso tool, you can easily select areas you want to add to or remove from your current selection.

This reduces friction and does not need the labeler to be super accurate with their mouse movements.

Automatically track objects

Uniquely identify objects across many point cloud frames, and drastically reduce annotation time by leveraging automatic interpolation.

Draw an initial cuboid

Use 1-click annotation or Magic select to create a cuboid in the first frame in which an object appears

Relocate the cuboid

Find the last frame in which the object appears, and adjust the location and orientation of the cuboid.

You're done!

Cuboids in all other frames are automatically moved to their proper positions. If you further adjust cuboids in intermediate frames, cuboids in all other frames are also adjusted to account for the new change.

And much more to love

Lidar annotation tool features

Label RGB point cloudsHave dense RGB pointclouds with millions of points? Labeling them on the Mindkosh platform is a breeze!

Highlight FOVWant to only label objects within a certain distance from the ego vehicle? Or within a certain Field of View (FOV)? No problem!

AttributesAdd attributes to labels and change values directly on the annotation page. In tracked cuboids, you can also mark an attribute immutable to keep it fixed for all frames.

Track static objectsTrack static objects across multiple frames by locking their position, so change in any frame is copied to other frames.

Get more done in less time

  • Divide work in batches

    Automatically divide your tasks into batches so the work can be divided evenly within your team.

  • Reviewers

    Assign labelers and reviewers to each batch to ensure high quality annotation.

  • Annotation modes

    Move your batches into Annotation, Validation or Completed modes to keep track of exactly how much work remains to be done

Annotation modes and batches
  • Task management

    Create tasks to start labeling. Then group related tasks into projects, and assign projects to your users

  • User permissions

    Assign different roles to your users to easily keep permissions in check.

Annotation project management
  • Mark issues

    Free-flowing communication is key to ensuring high quality annotations. Pin-point mistakes within your data with issues.

  • Chat with team-members

    Talk with your team-members right within an issue to get to the source of the problem.

  • Measure quality

    Use number of resolved and unresolved issues as a measure of the quality of annotations of a task.

Annotation modes and batches
  • Time your annotation tasks

    Know exactly how much time each member of your team spent annotating data.

  • Annotation mode breakdown

    See how much time your team spent in each of the 3 annotation modes. This information is available at batch as well as task level.

  • Share with all stakeholders

    Export the information as CSV and share it with your team or end customers.

Annotation analytics
  • Create releases

    Export your data as a release and name it so you can identify it later. Keep the last 5 releases so you can download them anytime.

  • Choose what to export

    Choose the batches you want to export, so you dont have to download everything everytime something is updated

  • Export formats

    Export your LIDAR annotations in KITTI format. More formats are coming very soon!

Annotation Releases