The process that I described above worked best for me! So please free to copy it. In my case, it was training a CNN using free GPU. You can now use your data for anything you wish. I have uploaded mine to an empty directory called data. Upload the zipped file using Google Drive Interface. In my case, I had a folder called ‘train’ with 70257. I am going to describe here step by step how to upload successfully big data sets so they can be processed by Google Colab and take advantage of VMs provided by their services.ġ.

My trials for three days to successfully upload photo data for CNN training in order to use free GPU led me to establish this alternative. This process is usually successful and does not take even that long (a couple of minutes with 1GB file) but the problem comes with unzipping the file in Google Drive itself which results in random files missing. The alternative is to drag a zipped folder. Dragging the whole folder containing 1GB of files just fails and freezes Google Drive. Whereas uploading a single file can be done with the drag and drop interface of Google Drive, it becomes more difficult with a large number of files.

In this post, I will explain how to add large data sets to Google Drive so they can be accessed from Google Colab for processing and modeling.

Google drive unzip online