Image search is now live!
Eugene Yan
A developer built a reverse image search API that finds visually similar products in a catalog by generating neural network features from images and calculating similarity scores. The system uses pretrained neural networks like VGG16 to create feature vectors from product images, then compares new uploaded images against approximately 200,000 catalog items. Users can now search for products by uploading images rather than text queries, with the API performing best on product images with white backgrounds.
Why it matters
A web app to find similar products based on image.
