How to split a dataset into 3: train, test and validation with ImageDataGenerator for my dataset from directory?

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I want to split my image dataset into three parts: train=80, validation=10, and test=10 with ImageDataGenerator for my dataset from directory

train_dataset = image_generator.flow_from_directory(...)
validation_dataset = image_generator.flow_from_directory(...)
test_dataset = image_generator.flow_from_directory(...)
computer-vision training-data machine-learning dataset validation
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