train_test_validation#
Module containing the train test validation check in the vision package.
Classes
Check if the average image brightness (or bbox location if applicable) is similar between train and test set. |
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Calculate drift between the entire train and test datasets (based on image properties) using a trained model. |
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Calculate drift between train dataset and test dataset per image property, using statistical measures. |
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Detects labels that appear only in the test set. |
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Check for images in training that are similar to images in test. |
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Return the Predictive Power Score of image properties, in order to estimate their ability to predict the label. |
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Calculate label drift between train dataset and test dataset, using statistical measures. |