Segments.ai

Segments.ai is a specialized data labeling platform built for robotics and autonomous vehicle development. It lets teams annotate multi-sensor data — like 2D camera images and 3D LiDAR point clouds — in one unified workspace. Instead of labeling each sensor type separately and trying to sync the results later, you can work on them together, which saves time and improves consistency. The platform is designed to handle the complex, three-dimensional data that robots and self-driving cars need to understand their environment.

What makes Segments.ai stand out are its sensor fusion capabilities. When you draw a 3D bounding box around an object in a point cloud, you can project that label onto all the 2D camera images where that object appears with a single click. This eliminates hours of repetitive manual work. The platform also maintains consistent tracking IDs for objects as they move through time and across different sensor views, which is crucial for training accurate perception models. Features like real-time interpolation and ML-powered object tracking help speed up the annotation process while keeping human oversight.

This tool is built for technical teams working on perception systems. Computer vision engineers at robotics companies and AV developers benefit most, as they need high-quality, synchronized training data from multiple sensors. Real-world use includes labeling street scenes for self-driving cars, where you need to identify and track pedestrians, vehicles, and obstacles across both camera feeds and 3D laser scans. It's also useful for drones or warehouse robots that use similar sensor setups to navigate and interact with the world.