Automatic Classification

Menu: AI / Automatic Classification

With this feature, you can automatically classify your projects using a trained AI model.

Selecting a Model

The software provides four default models, each designed for different dataset types. If you have previously trained a custom model, it will appear in the "Model Name" dropdown menu. Once a model is selected, the available classification classes will be displayed.

Classification Modes

You can choose between the following processing options:

🔹 GPU Mode (Recommended)

• Uses your graphics card (GPU) to accelerate the classification process.

• Significantly faster than CPU mode.

• Requires an NVIDIA GPU (other brands are not supported at this time).

🔹 CPU Mode

• Uses your computer’s processor (CPU) for classification.

• Slower than GPU mode, especially for large datasets.

• Can be used if no compatible GPU is available.

🔹 Performance Mode (For GPU users only)
Adjusts the batch size and number of workers based on available GPU memory:

• Minimal → For GPUs with less than 12GB memory.

• Balanced → For GPUs with 12–16GB memory.

• High → For GPUs with 24GB or more memory.

Choosing the correct performance mode ensures optimal memory usage and prevents crashes due to insufficient GPU resources.

🔹 By Corridor Mode (For Linear Projects)

• Classifies only the points inside a defined corridor.

• Corridors can be created using the Alignments tool.

• Best suited for road, railway, or pipeline projects where classification should be restricted to a predefined area.

Starting the Classification

Once all parameters are set, click [Start] to begin the automatic classification process.

By selecting the appropriate mode and settings, you can optimize the classification process for your dataset and hardware. 🚀