load image dataset (folder or zip) located in Google Drive to Google Colab?

Question

I have a dataset of images on my Google Drive. I have this dataset both in a compressed .zip version and an uncompressed folder.

I want to train a CNN using Google C

Answer 1

Other answers are excellent, but they require everytime to authenticate in Google Drive, that is not very comfortable if you want to run top down your notebook.

I had the same need, I wanted to download a single zip file containing dataset from Drive to Colab. I preferred to get shareable link of that file and run following cell (substitute drive_url with your shared link):

import urllib

drive_url = 'https://drive.google.com/uc?export=download&id=1fBVMX66SlvrYa0oIau1lxt1_Vy-XYZWG'
file_name = 'downloaded.zip'

urllib.request.urlretrieve(drive_url, file_name)
print('Download completed!')

Answer 2

As mentioned by @yl_low here

Step 1:

!apt-get install -y -qq software-properties-common python-software-properties module-init-tools
!add-apt-repository -y ppa:alessandro-strada/ppa 2>&1 > /dev/null
!apt-get update -qq 2>&1 > /dev/null
!apt-get -y install -qq google-drive-ocamlfuse fuse

Step 2:

from google.colab import auth
auth.authenticate_user()

Step 3:

from oauth2client.client import GoogleCredentials
creds = GoogleCredentials.get_application_default()
import getpass
!google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret} < /dev/null 2>&1 | grep URL
vcode = getpass.getpass()
!echo {vcode} | google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret}

Both Step 2 and 3 will require to fill in the verification code provided by the URLs

Step 4:

!mkdir -p drive
!google-drive-ocamlfuse drive

Step 5:

print('Files in Drive:')
!ls drive/

Answer 3

To update the answer. You can right now do it from Google Colab

# Load the Drive helper and mount
from google.colab import drive

# This will prompt for authorization.
drive.mount('/content/drive')

!ls "/content/drive/My Drive"

Google Documentation