I’ve a image dataset properly labeled and split into train, test and valid folders but when I create an ImageDataBunch I’m prompted with the this error;
IndexError: index 0 is out of bounds for axis 0 with size 0
Although there’s another post in the forums about this same issue and there a possible solution to it but there’s no explanation to the error. Here’s the link to the other forum post.
For me it worked when i changed the path specification from ‘content…’ to ‘\content…’
In my case, it is about the file name.
MNIST use the folder name ‘training’ and ‘testing’ instead of ‘train’ and ‘valid’ which is the default of from_folder.
It worked after I assign the folder name:
ImageDataBunch.from_folder(path, train=‘training’, valid=‘testing’, ds_tfms=tfms, size=26)
Reference from help(ImageDataBunch.from_folder):
from_folder(path: Union[pathlib.Path, str], train: Union[pathlib.Path, str] = ‘train’, valid: Union[pathlib.Path, str] = ‘valid’, valid_pct=None, classes: Collection = None, **kwargs: Any) -> ‘ImageDataBunch’ method of builtins.type instance
Create from imagenet style dataset in path with train,valid,test subfolders (or provide valid_pct).
What worked for me is I specified my path as follow (working on colab):
root_dir = ‘/content/drive/My Drive/fastai/’
path = Path(root_dir)
path = root_dir + ‘sleeves_lenghts/train’