We use a bunch of open source models (image embedding model, object detection model, segmentation model..) that we fine-tuned on millions of fashion-related images.
Essentially, the embedding of the user's image gets compared against the embeddings of all the scraped and indexed products.
Essentially, the embedding of the user's image gets compared against the embeddings of all the scraped and indexed products.