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# Introduction to Segmentation in OpenVINO™ | |
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| <img src="https://user-images.githubusercontent.com/36741649/127848003-9e45c8da-2e43-48ac-803f-9f51a8e9ea89.jpg" width=300> | <img src="https://user-images.githubusercontent.com/36741649/127847882-6305d483-f2ce-4c2f-a3b5-8573d1522d15.png" width=300> | | |
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.</br> | |
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). | |