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Welcome to Xtreme1

Open-source platform for multisensory training data.
Find our GitHub repos at​


Xtreme1 is the world's first open-source platform for multisensory training data.
Xtreme1 provides deep insight into data annotation, data curation, and ontology management to solve 2D image and 3D point cloud dataset ML challenges.
The built-in AI-assisted tools take your annotation efforts to the next level of efficiency for your 2D/3D Object Detection, 3D Instance Segmentation, and LiDAR-Camera Fusion projects.

Key Features

Image Annotation (B-box, Segmentation) - YOLOR & RITM​
Lidar-camera Fusion (Frame series) Annotation - OpenPCDet & AB3DMOT​
Supports data labeling for images
, 3D LiDAR and 2D/3D Sensor Fusion datasets
Built-in pre-labeling and interactive models support 2D/3D object detection, segmentation and classification
Configurable Ontology Center for general classes (with hierarchies) and attributes for use in your model training
Data management and quality monitoring
Find and fix labeling errors
Results visualization to help you to evaluate your model
3D Point Cloud Cuboid Annotation - OpenPCDet​
2D & 3D Fusion Object Tracking Annotation - AB3DMOT​

Getting Started

You can install Xtreme1 on a Linux, Windows, or MacOSX machine.
Get started from the Quick Start:
unzip -d xtreme1-v0.7.2
docker compose up
Xtreme1 project is now hosted in LF AI & Data Foundation as a sandbox project.
Xtreme1, the First Open-Source Labeling & Annotation and Visualization Project, is debuting at the Linux Foundation AI & DATA Global Landscape

Support and Community

Join our community to chat with other members.
Subscribe to the latest video tutorials on our YouTube channel

Learn more

Please refer to the Linux Foundation Trademark Usage page to learn about the usage policy and guidelines:
Last modified 24d ago