Docs | Open-source
GitHub
  • Welcome to Xtreme1
  • Product Guides
    • 🖼️Image Annotation Tool
    • 🛣️LiDAR Annotation Tool
      • 📸Coordinate System
    • 📖Text Annotation Tool (beta)
    • ⛽Upload Dataset
    • 🏷️Ontology
      • Import Class/Classification
    • 🎡Data Curation
      • Kanban
      • Data Similarity Map
  • 💿Export Data
    • Data Annotation Result
    • Folder Structure
  • DEVELOPER REFERENCE
    • 🎹API Document
      • API Reference
    • 🪄Model Integration Guide
  • Changelog
    • V 0.7
    • V 0.6.0
    • V 0.5.5
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  • Introduction
  • Key Features
  • Getting Started
  • Support and Community
  • Quick Links
  • Learn more

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Welcome to Xtreme1

Open-source platform for multisensory training data.

NextImage Annotation Tool

Last updated 1 year ago

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You can find our

GitHub repos at

and our cloud version at

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

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

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

Support and Community

Join our community to chat with other members.

Quick Links

Learn more

Image Annotation (B-box, Segmentation) - &

Lidar-camera Fusion (Frame series) Annotation - &

3D Point Cloud Cuboid Annotation -

2D & 3D Fusion Object Tracking Annotation -

Xtreme1 project is now hosted in as a sandbox project.

Issue:

Medium:

GitHub:

Twitter:

Subscribe to the latest video tutorials on our channel

Please refer to the Linux Foundation Trademark Usage page to learn about the usage policy and guidelines: .

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https://github.com/xtreme1-io/xtreme1
https://www.basic.ai/
LF AI & Data Foundation
https://github.com/xtreme1-io/xtreme1
/issues
https://medium.com/multisensory-data-training
https://github.com/xtreme1-io/xtreme1
https://twitter.com/Xtreme1io
YouTube
🛣️LiDAR Annotation Tool
https://www.linuxfoundation.org/trademark-usage
YOLOR
RITM
OpenPCDet
AB3DMOT
OpenPCDet
AB3DMOT
Xtreme1, the First Open-Source Labeling & Annotation and Visualization Project, is debuting at the Linux Foundation AI & DATA Global Landscape