Simple example of multi-label classification using fastai v1. %reload_ext autoreload
%autoreload 2
from fastai import *
from fastai.vision import * In [43]: path = untar_data(URLs.PLANET_SAMPLE)
path Out[43]: PosixPath('/home/ubuntu/.fastai/data/planet_sample') In [44]: data = ImageDataBunch.from_csv(path, folder='train', sep=' ', suffix='.jpg', ds_tfms=get_transforms(), tfms=imagenet_norm, size=224)
img,labels = data.valid_ds[-1]
img.show(title=" ".join(np.array(data.classes)[labels.astype(bool)]))