Keras image_dataset_from_directory not finding images

Question

I want to load the data from the directory where I have around 5000 images (type 'png'). But it returns me an error saying that there are no images when obviusly there are images. This code:

width=int(wb-wa)
height=int(hb-ha)
directory = '/content/drive/My Drive/Colab Notebooks/Hair/Images'
train_ds = tf.keras.preprocessing.image_dataset_from_directory(
    directory, labels=densitat, label_mode='int',
    color_mode='rgb', batch_size=32, image_size=(width, height), shuffle=True, seed=1,
    validation_split=0.2, subset='training', follow_links = False)

Returns:

ValueError: Expected the lengths of `labels` to match the number of files in the target directory. len(labels) is 5588 while we found 0 files in /content/drive/My Drive/Colab Notebooks/Hair/Images.

I can see the images: Colab view of the folder structure with the images

Where is the problem? I need to use this function to load data in batchs as i have a large dataset

Answer 1

I have found the answer so I am posting in case it might help someone.

The problrem is the path, as I was using the path to the folder with the images whereas I should have used the directory (one folder above).

directory = '/content/drive/My Drive/Colab Notebooks/Hair'

Note that '/Hair' is the folder with my images.

Answer 2

If the accepted solution above doesn't solve your problem, it could be because you are trying to load TIFF images with a .tif extension. It turns out the only allowed formats for image_dataset_from_directory are ('.bmp', '.gif', '.jpeg', '.jpg', '.png')