Semantic Segmentation Editor
A web-based labeling tool for creating semantic segmentation training data from 2D images and 3D point clouds.
What is Semantic Segmentation Editor?
Semantic Segmentation Editor is a web-based tool for creating labeled datasets used to train AI models for semantic segmentation. It allows users to annotate both 2D images and 3D point clouds by drawing polygons or selecting points, generating the structured data needed for machine learning tasks like autonomous driving perception.
AI researchers, computer vision engineers, and data annotation teams working on autonomous driving, robotics, or any project requiring precise semantic segmentation training data.
It provides a unified, self-hosted solution for both 2D and 3D annotation with a focus on performance and usability, eliminating the need for separate tools and simplifying the dataset creation workflow.
Overview
Web labeling tool for bitmap images and point clouds
Use Cases
Best For
- Labeling street scenes for autonomous vehicle perception models
- Creating semantic segmentation datasets from LIDAR point clouds
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