description
Open-source platform for multisensory training data.

Welcome to Xtreme1

{% hint style="info" %} You can find our

GitHub repos at https://github.com/xtreme1-io/xtreme1

and our cloud version at https://www.basic.ai/ {% endhint %}

Introduction

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

1️⃣ Supports data labeling for images 📷, 3D LiDAR and 2D/3D Sensor Fusion datasets 🚘 🚦 🚷

2️⃣ Built-in pre-labeling and interactive models support 2D/3D object detection, segmentation and classification 🚀

3️⃣ Configurable Ontology Center for general classes (with hierarchies) and attributes for use in your model training 🔖

4️⃣ Data management and quality monitoring 📚

5️⃣ Find and fix labeling errors 🔬

6️⃣ 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.

Prerequisites details and built-in models installation is explained here.

Get started from the Quick Start:

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

{% hint style="info" %} Xtreme1 project is now hosted in LF AI & Data Foundation as a sandbox project. {% endhint %}

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.

Issue: https://github.com/xtreme1-io/xtreme1/issues

Medium: https://medium.com/multisensory-data-training

GitHub: https://github.com/xtreme1-io/xtreme1

Twitter: https://twitter.com/Xtreme1io

Subscribe to the latest video tutorials on our YouTube channel

Quick Links

{% content-ref url="broken-reference" %} Broken link {% endcontent-ref %}

{% content-ref url="product-guides/lidar-annotation-tool/" %} lidar-annotation-tool {% endcontent-ref %}

Learn more

Please refer to the Linux Foundation Trademark Usage page to learn about the usage policy and guidelines: https://www.linuxfoundation.org/trademark-usage.