Why now?

Here at Supervisely we spend a lot of time developing annotation tools for machine learning. While 2D labeling (i.e. images or videos) is still the most convenient and well-known source of data for machine learning, recent advances in tasks like robotics, self-driving vehicles, augmented reality and urban planning require other type of training data — point cloud labeling.

The problem is, despite the fact, that LIDAR and radar sensors have become more available than ever, it’s not like there are tons of tools for 3D labeling on the internet. Most advanced tools are hidden from the public usage by large workforce providers and other tools are mostly offline and not really designed for machine learning.

So today we are happy to announce the launch of our point cloud labeling tool available for everyone from the day one!