config = {
    "BATCH_SIZE" :32,
    "IMG_SIZE":150,
    "VAL_SPLIT":0.1,
    "EPOCHS":100,
    "PATIENCE":5
}

train_data = tf.keras.preprocessing.image_dataset_from_directory(
    "/kaggle/input/intel-image-classification/seg_train/seg_train",
    labels="inferred",
    label_mode="categorical",
    class_names=class_names,
    color_mode="rgb",
    batch_size=config["BATCH_SIZE"],
    image_size=(config["IMG_SIZE"],config["IMG_SIZE"]),
    shuffle=True,
    seed=32,
    validation_split=config["VAL_SPLIT"],
    subset="training",
    interpolation="bilinear",
    verbose=True
)

valid_data = tf.keras.preprocessing.image_dataset_from_directory(
    "/kaggle/input/intel-image-classification/seg_train/seg_train",
    labels="inferred",
    label_mode="categorical",
    class_names=class_names,
    color_mode="rgb",
    batch_size=config["BATCH_SIZE"],
    image_size=(config["IMG_SIZE"],config["IMG_SIZE"]),
    seed=32,
    validation_split=config["VAL_SPLIT"],
    subset="validation",
    interpolation="bilinear",
    verbose=True
)

test_data = tf.keras.preprocessing.image_dataset_from_directory(
    "/kaggle/input/intel-image-classification/seg_test/seg_test",
    labels='inferred',
    label_mode='categorical',
    class_names=class_names,
    color_mode='rgb',
    batch_size=config["BATCH_SIZE"],
    image_size=(config["IMG_SIZE"],config["IMG_SIZE"]),
    interpolation='bilinear',
    verbose=True
)

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