# Docs | Open-source

## Xtreme1 Docs

- [Welcome to Xtreme1](https://docs.xtreme1.io/xtreme1-docs/welcome-to-xtreme1.md): Open-source platform for multisensory training data.
- [Image Annotation Tool](https://docs.xtreme1.io/xtreme1-docs/product-guides/image-annotation-tool.md): Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they see.
- [LiDAR Annotation Tool](https://docs.xtreme1.io/xtreme1-docs/product-guides/lidar-annotation-tool.md): This article describes how to use 2D & 3D Fusion and Frame Series tool. The object tracking is a key-feature of the perception system of autonomous cars and ADASs.
- [Coordinate System](https://docs.xtreme1.io/xtreme1-docs/product-guides/lidar-annotation-tool/coordinate-system.md): Introduction 2D & 3D Fusion dataset coordinate system including camera parameter configuration
- [Text Annotation Tool (beta)](https://docs.xtreme1.io/xtreme1-docs/product-guides/text-annotation-tool-beta.md): Multiple rounds of dialogues
- [Upload Dataset](https://docs.xtreme1.io/xtreme1-docs/product-guides/upload-dataset.md): Image, LiDAR and 2D & 3D Fusion LiDAR datasets format requirement
- [Ontology](https://docs.xtreme1.io/xtreme1-docs/product-guides/ontology.md): The Ontology provides preset general classes (hierarchies) and attributes for use in your model training. You can also build a customized one from the very beginning.
- [Import Class/Classification](https://docs.xtreme1.io/xtreme1-docs/product-guides/ontology/import-class-classification.md)
- [Data Curation](https://docs.xtreme1.io/xtreme1-docs/product-guides/data-curation.md)
- [Kanban](https://docs.xtreme1.io/xtreme1-docs/product-guides/data-curation/kanban.md): A dataset kanban board is a great way to visualize the progress of your machine learning dataset through the different stages of its lifecycle.
- [Data Similarity Map](https://docs.xtreme1.io/xtreme1-docs/product-guides/data-curation/data-similarity-map.md): Data similarity map is a visual representation that shows the degree of similarity between data points in a dataset. It allows you to quickly understand how closely related or connected different data
- [Export Data](https://docs.xtreme1.io/xtreme1-docs/export-data.md): Import and export data guideline
- [Data Annotation Result](https://docs.xtreme1.io/xtreme1-docs/export-data/data-annotation-result.md): Class and Classification
- [Folder Structure](https://docs.xtreme1.io/xtreme1-docs/export-data/folder-structure.md)
- [API Document](https://docs.xtreme1.io/xtreme1-docs/developer-reference/api-document.md)
- [Model Integration Guide](https://docs.xtreme1.io/xtreme1-docs/developer-reference/model-integration-guide.md): Xtreme1 Point Cloud Object Detection Model Integration Guide
- [V 0.7](https://docs.xtreme1.io/xtreme1-docs/changelog/v-0.7.md): New LLM Text Annotation
- [V 0.6.0](https://docs.xtreme1.io/xtreme1-docs/changelog/v-0.6.0.md): Xtreme1 v0.6.0: Support Integrating User's Models and Data Import & Export Function Enhancement
- [V 0.5.5](https://docs.xtreme1.io/xtreme1-docs/changelog/v-0.5.5.md): Release date: Dec 24 2022


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