Welcome to Xtreme1
Open-source platform for multisensory training data.
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.
Supports data labeling for images , 3D LiDAR and 2D/3D Sensor Fusion datasets
1⃣
📷
🚘
🚦
🚷
Built-in pre-labeling and interactive models support 2D/3D object detection, segmentation and classification
2⃣
🚀
Configurable Ontology Center for general classes (with hierarchies) and attributes for use in your model training
3⃣
🔖
Data management and quality monitoring
4⃣
📚
Find and fix labeling errors
5⃣
🔬
Results visualization to help you to evaluate your model
6⃣
📈
You can install Xtreme1 on a Linux, Windows, or MacOSX machine.
wget https://github.com/xtreme1-io/xtreme1/releases/download/v0.7.2/xtreme1-v0.7.2.zip
unzip -d xtreme1-v0.7.2 xtreme1-v0.7.2.zip
docker compose up
Xtreme1, the First Open-Source Labeling & Annotation and Visualization Project, is debuting at the Linux Foundation AI & DATA Global Landscape
Join our community to chat with other members.
Please refer to Linux Foundation Trademark Usage page to learn about the usage policy and guidelines: https://www.linuxfoundation.org/trademark-usage.
Last modified 1mo ago