Release of new feature 'Object detection'

Point Clustering, a new feature of Pointorama, simplifies the intricate process of data organization in just a few clicks. During the import process, Pointorama goes beyond mere data organization – it detects objects. This detection involves recognizing individual points and grouping them based on their association with the same object or part of an object.

With Pointorama, you have the freedom to label data manually rather than relying on automatic processes. This gives you control over how your data is organized. By clustering on segment level instead of point level, users enable efficient organization with just a few simple clicks. Points that belong to the same object or share a common attribute can seamlessly identified and grouped. This not only enhances data visualization but also facilitates smoother data analysis, empowering users to derive valuable insights with ease.

The benefits of point clustering extend far beyond mere organization. By streamlining data visualization and management, this feature significantly enhances workflow efficiency. With clusters, classes and objects at their fingertips, users can navigate even the most complex datasets with ease, making informed decisions and driving project success.