Wolfram Language

Train an Anomaly Detector for Images

This example shows how to create an anomaly detector for a specific dataset of images.

Obtain a dataset of images.

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Train an anomaly detector on the dataset.

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Obtain information about the anomaly detector.

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Use the detector on new images.

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Compare with the results obtained on corrupted images.

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Visualize the behavior of the probability to find a rarer image (RarerProbability) for various levels of corruption.

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