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This is one of my projects using OpenAI's CLIP model to do interesting things. So the big credit goes to them! I processed 2M images from the Unsplash dataset
by vladoh 6y ago
This is one of my projects using OpenAI's CLIP model to do interesting things. So the big credit goes to them!
I processed 2M images from the Unsplash dataset with CLIP and stored the feature vector representation of each photo (a 512 element vector). You can now encode a text query with CLIP in the same latent space and search the database.
I also tried doing some simple arithmetic with the feature vectors to combine the result of a search query and a photo. You can for example search for "Sydney Opera house" and give it a bight photo and you will get a photo of the Sydney Opera at night.
You can directly jump to the Google Colab notebook if you want to give it a try: https://colab.research.google.com/github/haltakov/natural-language-image-search/blob/main/colab/unsplash-image-search.ipynb https://colab.research.google.com/github/haltakov/natural-la...
- vrzucchini 6y agoQuite an interesting project! Wanted to give it a shot but it seems to fail when attempting to fetch the precomputed features - 504 Gateway Time-outs. Quota limits might have been reached?
- vladoh 6y agoYeah, it's a 2 GB file, so it hits the quota limit on the Google Drive pretty fast. There is a problem with the mirror at transfer.army that I'll fix today.