The size of the image dataset is quite large (1.3gb) and x2 if one is to upload it into a drive or other resources for use, also considering storage capacities. Zindi should consider uploading large datasets into a single public storage system where participants could easily fetch it. Imagine 100+ participants needing to download and upload such size of data.
You can directly load data from zindi into colab without spending dat much data... Then copy the file to your drive from colab
# This is something I did a while ago to download Zindi datasets
!cp -r zindi-dataset-downloader/* .
import ZindiDownloader.ZindiDownloader as zindi
auth_token = 'key_here'
downloader = zindi.ZindiDataDownloader(auth_token)
# this can be found by inspecting html element of dataset's webpage. CTRL + f
links = [
for item in links: