imagenet-1k · 2552th image has an enormous ICC profile (1.5MB)

Feb 12

Hello, I noticed that the 2552th image in the training set has an enormous ICC profile (1.5MB). This is problematic when modifying (map) the dataset because Hugging Face saves the image as a PNG which also contains the ICC profile and cannot be opened by PIL anymore.

>>> dataset = load_dataset('imagenet-1k')
>>> dataset['train'][2552]['image'].save('hello_kitty.png')
>>> Image.open('hello_kitty.png') 
...
ValueError: Decompressed Data Too Large

Therefore, if we map over the dataset (map) to modify the images (e.g. crop or resize) we get corrupted cache files.

def transform(row):
    row['image'] = row['image'].resize((128, 128))
    return row

temp = dataset['train'].map(transform)
temp[2552]  # break

mariosasko

Datasets Maintainers org Feb 13

Hi! You can avoid this error by using the fix from this SO thread. Or, delete the ICC profile from the metadata before saving an image:

def transform(row):
    row['image'] = row['image'].resize((128, 128))
    row["image"].info.pop("icc_profile", None)
    return row

francois-rozet

Feb 22

Thanks @mariosasko , your fix seems to work! An alternative is to transform the image into a NumPy array and then back into an image, which removes all metadata.

def transform(row):
    row['image'] = row['image'].resize((128, 128))
    row['image'] = Image.fromarray(np.asarray(row['image']))
    return row

francois-rozet changed discussion status to closed Feb 22