# Welcome to Xtreme1

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

&#x20;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](https://github.com/WongKinYiu/yolor) & [RITM](https://github.com/saic-vul/ritm_interactive_segmentation) |                                  Lidar-camera Fusion (Frame series) Annotation - [OpenPCDet](https://github.com/open-mmlab/OpenPCDet) & [AB3DMOT](https://github.com/xinshuoweng/AB3DMOT)                                  |
| :-------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
|                                                                                                                                                           | ![](https://2222059734-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgZbaVXXtfTXMMcqdnKWV%2Fuploads%2FvxItLYh7miaow5Ht4t5o%2F2d-seg-model.gif?alt=media\&token=c984c09e-54e9-468a-8432-1e2e37f37e43) |

:one: Supports data labeling for images :camera:, 3D LiDAR and 2D/3D Sensor Fusion datasets :oncoming\_automobile: :vertical\_traffic\_light: :no\_pedestrians:

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

:three: Configurable Ontology Center for general classes (with hierarchies) and attributes for use in your model training :bookmark:

:four: Data management and quality monitoring :books:

:five: Find and fix labeling errors :microscope:

:six: Results visualization to help you to evaluate your model :chart\_with\_upwards\_trend:

|                                                                   3D Point Cloud Cuboid Annotation - [OpenPCDet](https://github.com/open-mmlab/OpenPCDet)                                                                   |                                                            2D & 3D Fusion Object Tracking Annotation - [AB3DMOT](https://github.com/xinshuoweng/AB3DMOT)                                                            |
| :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| ![](https://2222059734-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgZbaVXXtfTXMMcqdnKWV%2Fuploads%2FphE8JtjiLXjKzMV8sFyq%2F3d-annotation.gif?alt=media\&token=4082ecce-1928-46bf-8d99-9315a4ed7aae) | ![](https://2222059734-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgZbaVXXtfTXMMcqdnKWV%2Fuploads%2F4BhBaQw2GabvX79n8Vf1%2Fimage.png?alt=media\&token=1d11f920-d7ce-4f07-b663-51cecf0ef003) |

## Getting Started

You can install Xtreme1 on a Linux, Windows, or MacOSX machine.

[**Prerequisites details and built-in models installation is explained here**](https://docs.xtreme1.io/xtreme1-docs/broken-reference)**.**

Get started from the [**Quick Start**](https://docs.xtreme1.io/xtreme1-docs/broken-reference):

```bash
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](https://lfaidata.foundation/) as a sandbox project.
{% endhint %}

<figure><img src="https://2222059734-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgZbaVXXtfTXMMcqdnKWV%2Fuploads%2Fr14zvt25COCUK7emMJUP%2Flf_x1.png?alt=media&#x26;token=9b109f26-a7b0-4c0c-b82c-7106c53b95d7" alt=""><figcaption><p>Xtreme1, the First Open-Source Labeling &#x26; Annotation and Visualization Project, is debuting at the Linux Foundation AI &#x26; DATA Global Landscape</p></figcaption></figure>

## Support and Community

Join our community to chat with other members.

Issue: <https://github.com/xtreme1-io/xtreme1>[/issues](https://github.com/basicai/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](https://www.youtube.com/@xtreme1ai) channel

## Quick Links

{% content-ref url="broken-reference" %}
[Broken link](https://docs.xtreme1.io/xtreme1-docs/broken-reference)
{% endcontent-ref %}

{% content-ref url="product-guides/lidar-annotation-tool" %}
[lidar-annotation-tool](https://docs.xtreme1.io/xtreme1-docs/product-guides/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>.