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| image_generator = ImageDataGenerator(rescale=1/255, validation_split=0.2) | |
| #Train & Validation Split | |
| train_dataset = image_generator.flow_from_directory(batch_size=32, | |
| directory='data_cleaned/Train', | |
| shuffle=True, | |
| target_size=(224, 224), | |
| subset="training", | |
| class_mode='categorical') | |
| validation_dataset = image_generator.flow_from_directory(batch_size=32, | |
| directory='data_cleaned/Train', | |
| shuffle=True, | |
| target_size=(224, 224), | |
| subset="validation", | |
| class_mode='categorical') | |
| #Organize data for our predictions | |
| image_generator_prediction = ImageDataGenerator(rescale=1/255) | |
| prediction_data = image_generator_prediction.flow_from_directory( | |
| directory='data_cleaned/scraped_images', | |
| shuffle=False, | |
| target_size=(224, 224), | |
| class_mode=None) |
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