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Hey Josh, There are several methods to get data in and out of Google Colab, you can see many of them here: https://colab.research.google.com/notebooks/io.ipynb For example, to upload files from a local system: from google.colab import files
uploaded = files.upload()
for fn in uploaded.keys():
print('User uploaded file "{name}" with length {length} bytes'.format(
name=fn, length=len(uploaded[fn]))) |
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Hi,
How can I upload this dataset from Kaggle instead of using !wget?
I downloaded the files from Kaggle and now have a zipped folder on my desktop with test and train folders in it (with images in each).
How can I upload this to my Colab?
What should I replace this code with:
import zipfile
Download zip file of pizza_steak images
!wget https://storage.googleapis.com/ztm_tf_course/food_vision/pizza_steak.zip
Unzip the downloaded file
zip_ref = zipfile.ZipFile("pizza_steak.zip", "r")
zip_ref.extractall()
zip_ref.close()
Thank you very much!
Josh
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