> For the complete documentation index, see [llms.txt](https://jtheta-ai.gitbook.io/docs.jtheta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://jtheta-ai.gitbook.io/docs.jtheta.ai/domain-specific-workflow/lidar-image-annotation.md).

# LiDAR Image Annotation

This workflow explains the end-to-end process of creating, configuring, annotating, reviewing, and exporting a 3D Point Cloud (LiDAR) annotation project in JTheta Annotate. It is designed for teams working on Autonomous Driving, Robotics, ADAS, and 3D Perception AI systems.

{% content-ref url="/pages/SeUjhOIbWHsIa5vml9nR" %}
[Project Creation](/docs.jtheta.ai/domain-specific-workflow/lidar-image-annotation/project-creation.md)
{% endcontent-ref %}

{% content-ref url="/pages/FY5RONKow1VrVE8xEu5K" %}
[Annotation](/docs.jtheta.ai/domain-specific-workflow/lidar-image-annotation/annotation.md)
{% endcontent-ref %}

{% content-ref url="/pages/bbwm5ssYOxyHrXh7T7ES" %}
[Project Analytics](/docs.jtheta.ai/domain-specific-workflow/lidar-image-annotation/project-analytics.md)
{% endcontent-ref %}

{% content-ref url="/pages/dGWZ1Y8g5BREsguClIYl" %}
[Export Lidar Datasets](/docs.jtheta.ai/domain-specific-workflow/lidar-image-annotation/export-lidar-datasets.md)
{% endcontent-ref %}