Greetings,
I have uploaded my data to kaggle and it looks like this 
I have four categories .
my code
path = '/kaggle/input/dlchevidit/kaggleData'
data = ImageDataBunch.from_folder(path, train='.', valid_pct=0.2, seed=66, ds_tfms=get_transforms(), size=224).normalize(imagenet_stats)
Data I get returned is as followed :
ImageDataBunch;
Train: LabelList (24661 items)
x: ImageList
Image (3, 224, 224),Image (3, 224, 224),Image (3, 224, 224),Image (3, 224, 224),Image (3, 224, 224)
y: CategoryList
Food,Food,Food,Food,Food
Path: /kaggle/input/dlchevidit/kaggleData;Valid: LabelList (6165 items)
x: ImageList
Image (3, 224, 224),Image (3, 224, 224),Image (3, 224, 224),Image (3, 224, 224),Image (3, 224, 224)
y: CategoryList
Attire,Decorationandsignage,Attire,misc,misc
Path: /kaggle/input/dlchevidit/kaggleData;Test: None
In training It is recognising only Food folder as categories
and other in validation
I’m not sure where I’m wrong