---
title: "Auto Classification"
slug: "cyclone-3dr-cloudautoclassificationc"
updated: 2026-09-07T11:51:31Z
published: 2026-09-07T11:51:31Z
canonical: "rcdocs.leica-geosystems.com/cyclone-3dr-cloudautoclassificationc"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://rcdocs.leica-geosystems.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Auto Classification

![CmdAutomaticClassification.svg](https://cdn.document360.io/820e11db-8ed5-45ae-ac86-f6b77dcb2aa7/Images/Documentation/CmdAutomaticClassification.svg)

This command classifies point clouds automatically.

> [!TIP]
> ### Requirements
> 
> Select one or several clouds and launch the command. Clouds will be processed independently unless they are merged before.

1. Select an appropriate **Classification model**. A table displays which **Categories** can be detected by the current model and for each one in which **Class** the points will be added.
2. This option improves the stability of classification computation especially for large clouds, by reducing RAM usage, which also may impact execution speed.
3. If necessary, modify the target classes thanks to the button **Edit category mapping**. It will open [Classification Settings](/v1/docs/cyclone-3dr-classificationsettingsc).
4. If necessary, use [Manual Classification](/v1/docs/cyclone-3dr-cloudmanualclassificationc) to improve the classification.

> [!TIP]
> **FAQ**
> 
> Visit the [FAQ page](/v1/docs/cyclone-3dr-cyclone-3dr-auto-classification-workflows) for guidance on the appropriate use cases for each model.

> [!NOTE]
> ### Technical information
> 
> The classification process is based on AI algorithms that rely on GPU computation.
> 
> For optimization purpose, the installer doesn't include all the required elements. Most of them are stored online and are automatically downloaded and installed when needed.
> 
> **Checking requirements**
> 
> At startup, the software checks if all the requirements are fulfilled. If it is not the case, a warning is displayed on the icon of the command and a form replaces the command, allowing to download and install the missing elements.
> 
> Here is the list of the requirements:
> 
> 1. Your computer needs to have an **NVidia graphics card** with **GPU compute capability.** Check the list here: [https://developer.nvidia.com/cuda-gpus](https://developer.nvidia.com/cuda-gpus). A good GPU is advised to get acceptable computation time.
> 2. The correct **NVidia CUDA Toolkit** needs to be installed on your machine.
> 3. The classification library.
> 4. At least one classification model.
> 
> The classification library and the models are downloaded and recorded in the **Classification folder** defined in the [Classification Settings](/v1/docs/cyclone-3dr-classificationsettingsc).
> 
> **Downloading requirements**
> 
> Once opened, the form starts to download and install the **CUDA Toolkit** and/or the **Classification library**.
> 
> At this step, if no models are available in the **Classification folder**, all the available models (only the latest versions) will be downloaded as well.
> 
> The software will restart once the setup is done.
> 
> **New models and updates**
> 
> The training of classification models is an ongoing process. Therefore, model updates are regularly released, as well as new classification models.
> 
> At startup, the command will perform a check to detect updates and invite you to download them if you want.
> 
> **Troubleshooting**
> 
> It is also possible to install manually:
> 
> - the **CUDA Toolkit**. It can be downloaded here: [https://developer.nvidia.com/cuda-toolkit-archive](https://developer.nvidia.com/cuda-toolkit-archive). Please refer to the [computer specifications](/v1/docs/cyclone-3dr-cyclone-3dr-computer-specifications) to check the right version to download.
> - the classification library. Download the classification offline package available [here](https://cyclone3dr.com/downloads.php) and follow pdf instructions.