er feature which will automatically turn the folders into 🤗 Dataset objects.

Upload your data to the hub, as a (possibly private) repo
	
It’s very easy (and convenient) to upload your image dataset to the hub using the ImageFolder feature available in 🤗 Datasets. Simply do the following:


	Copied
from datasets import load_dataset

# example 1: local folder
dataset = load_dataset("imagefolder", data_dir="path_to_your_folder")

# example 2: loc