how to obtain the number of files in tf.keras.preprocessing.image_dataset_from_directory?
train_ds = tf.keras.preprocessing.image_dataset_from_directory(
data_dir,
validation_split=0.2,
subset="training",
seed=123,
image_size=(img_height, img_width),
batch_size=batch_size)
Found 3670 files belonging to 5 classes. Using 2936 files for training.
When you run
import numpy as np
len(np.concatenate([i for x, i in train_ds], axis=0))
this gives you the number of files, in this case 2936.