Attribute timeline: catch errors faster
Tracking attribute changes across sequences shouldn’t feel like detective work. Yet that’s been the reality. To check if [...]
Introducing warnings: catch issues before they matter
We’ve added a new Warning System to Segments.ai that helps teams catch common annotation mistakes early, before they [...]
A new timeline for tracks: more clarity, less guesswork
We’ve redesigned the track timeline in Segments to make it easier to see what’s changing and where. The [...]
Improved Issue Tracking: Less Friction, More Precision
When you're labeling complex multi-sensor data, issue tracking isn’t a luxury. Yet, our previous functionality was limited. [...]
Voxel51 <> Segments.ai integration
Machine learning models are only as good as the data they’re trained on. The common saying “garbage in, [...]
New 3D segmentation features, Gaussian splat labeling, and more
Today, we’re introducing some powerful new features that will make your life easier when segmenting large point clouds [...]
[Guide] Label Gaussian Splats with Segments.ai
Gaussian splatting is a technique to render detailed 3D scenes. Instead of representing a scene as a set [...]
Better 3D sequence labeling, deep linking, and more
We’ve been hard at work in the first weeks of the new year to deliver you another round [...]
Simulating Real Cameras using Three.js
Ever wondered how you can simulate a physical camera in a 3D web app? In this blog [...]
Evaluating SAM for image segmentation labeling
In robotics and autonomous driving, accurate image segmentation is crucial for extracting meaningful information from visual data. [...]
