Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
This is a web-based tool for creating high-quality datasets for training AI models in 2D images and 3D point clouds. It takes raw image files (.jpg, .png) and point cloud files (.pcd) as input, allowing users to draw precise labels like polygons on objects, and outputs these labeled datasets. It's designed for data annotators, AI researchers, and machine learning engineers working on computer vision tasks, especially for autonomous driving.
1,948 stars. No commits in the last 6 months.
Use this if you need to meticulously label objects and regions in a large collection of images or 3D point clouds to generate training data for AI models.
Not ideal if you only need basic image cropping or simple object detection bounding boxes, or if your primary data is video or highly specialized sensor data not covered by .jpg, .png, or .pcd.
Stars
1,948
Forks
450
Language
JavaScript
License
MIT
Category
Last pushed
Sep 18, 2024
Commits (30d)
0
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