# Product Guides

- [Image Annotation Tool](/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](/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](/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)](/xtreme1-docs/product-guides/text-annotation-tool-beta.md): Multiple rounds of dialogues
- [Upload Dataset](/xtreme1-docs/product-guides/upload-dataset.md): Image, LiDAR and 2D & 3D Fusion LiDAR datasets format requirement
- [Ontology](/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](/xtreme1-docs/product-guides/ontology/import-class-classification.md)
- [Data Curation](/xtreme1-docs/product-guides/data-curation.md)
- [Kanban](/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](/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