The flow_from_dataframe () method takes the Pandas DataFrame and the path to a directory and generates batches of augmented/normalized data. This tutorial has explained flow_from_dataframe () function with example. These three functions are:Įach of these function is achieving the same task to loads the image dataset in memory and generates batches of augmented data, but the way to accomplish the task is different. Keras’ ImageDataGenerator class provide three different functions to loads the image dataset in memory and generates batches of augmented data. You can also refer this Keras’ ImageDataGenerator tutorial which has explained how this ImageDataGenerator class work. If you do not have sufficient knowledge about data augmentation, please refer to this tutorialwhich has explained the various transformation methods with examples. Keras’ ImageDataGenerator class allows the users to perform image augmentation while training the model.
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