I was going to start my second pass on the fastai course yesterday and wanted to follow through the courses with my own case studies this time. While that hasn’t been difficult for structured data (my work involves a lot of that) or language models (shockingly there’s a lot of text out there for all of us), it has been a bit trickier for image datasets.
Yesterday I found a really easy way of going about that. It was all possible with the google images downloader firefox addon: https://addons.mozilla.org/en-US/firefox/addon/google-images-downloader/?src=recommended
This amazing little addon allows you to download ALL images on a google image search with the press of a button, even providing a text file including all image links. I know there’s probably dozens of ways to scrape images off the net, but this one was the most satisfying I’ve found to date and wanted to share.
As an example, in a matter of 20 mins I had 12,500 images of different architectural practices (around 700 images of buildings from ~20 firms) for my ‘architect studio classification’ project.
Hope this is useful to some of you!