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Damage detection using different machine learning algorithms for semantic segmentation

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israfelsr/damage-detection

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Damage Detection

This projects uses machine learning algorithms to identify the damage in a composite material. The objective is to input the damage index image and obtain a segmentation of the damage region. For this, we will train different classifiers using image segmentation techniques.

Data

The image below shows some pairs (damage_index, damage_region). We will use this to train in a supervised manner.

Getting Started

The jupyter notebook file knn.ipynb goes over the implementation of a k-nearest neigbourhs algorithm. We can see some results in the image below.

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Damage detection using different machine learning algorithms for semantic segmentation

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