# Introduction to Segmentation in OpenVINO™
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This notebook demonstrates how to do inference with segmentation model.
## Notebook Contents
A very basic introduction to segmentation with OpenVINO. This notebook uses the [`road-segmentation-adas-0001`](https://docs.openvino.ai/2024/omz_models_model_road_segmentation_adas_0001.html) model from [Open Model Zoo](https://github.com/openvinotoolkit/open_model_zoo/) and an input image downloaded from [Mapillary Vistas](https://www.mapillary.com/dataset/vistas). ADAS stands for Advanced Driver Assistance Services. The model recognizes four classes: background, road, curb and mark.
## Installation Instructions
This is a self-contained example that relies solely on its own code.
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
For details, please refer to [Installation Guide](../../README.md).