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Add basic OV XAI notebook
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# eXplainable AI (XAI) for OpenVINO™ IR Models | ||
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/explainable-ai-1-basic/explainable-ai-1-basic.ipynb) | ||
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The notebook will cover the following topics: | ||
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* Explanation of [OpenVINO™ Explainable AI (XAI)](https://github.com/openvinotoolkit/openvino_xai/) and saliency maps. | ||
* How to create saliency map for OpenVINO™ IR models using [OpenVINO™ Explainable AI (XAI)](https://github.com/openvinotoolkit/openvino_xai/). | ||
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## Saliency Map | ||
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A saliency map is a visualization technique that highlights regions of the interest in an image from the model perspective. For example, it can be used to explain classification model predictions for a particular label. Here is an example of a saliency map that you will get in this notebook: | ||
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<p align="center"> | ||
<img width="80%" src="https://github-production-user-asset-6210df.s3.amazonaws.com/17028475/343197195-ccb67c0b-c58e-4beb-889f-af0aff21cb66.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240626%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240626T141846Z&X-Amz-Expires=300&X-Amz-Signature=cbad9a773f45d590b47c4fc2cf0c0c3a09fc1f77961eaa934eb0d110d990e2b2&X-Amz-SignedHeaders=host&actor_id=17028475&key_id=0&repo_id=806947463"/> | ||
</p> | ||
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## Installation Instructions | ||
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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). |
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notebooks/explainable-ai-1-basic/explainable-ai-1-basic.ipynb
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