Classification Service

Classification allows you to extract insights and identify objects within uniform point cloud datasets for downstream tasks. Vercator automates classification at speed and at scale by harnessing the potential of point clouds in the cloud. Get accurate results faster, no matter the size of the project.


Fully Automated

Our automated machine learning rapidly classify your single data set into a collection of classified smaller data subsets.


Free up resources by letting Vercator's cloud computing take the processing strain, allowing you to focus on other tasks.


The classification results are visualised in Vercator so that the resulting classes can be inspected and analysed in 3D.

Object Classes & Instances

Once segmented, the objects found are classified into categories of the model used, as well as each individual instance.


With multiple different input and export formats supported, this service integrates with your existing workflow.

Industry-Specific Models

Vercator has specific classification models that are tuned for different domains including rail, road and building interiors.

Classification Models

Below are a selection of our most popular models. View more models and try interactive results in our demo gallery here.

Power Lines

Separate the towers and conductor lines from vegetation and ground objects.

Building Structures

Separate the structural space-bounding elements (e.g. walls), attached objects (e.g. furniture) and noise.

Aerial Mapping

Separates the data into built environment objects (e.g. buildings, poles), and natural ones (e.g. ground, vegetation).

classification models

Have specific objects you need to extract that are not part of our existing models?

Our classification training service enables Vercator's team to work with you to deliver your optimum segmentation and classification results.

All classification models have to start from somewhere, however with specific input, we really can deliver better results, faster.

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