Comment by TACIXAT
3 days ago
Did I completely miss the technical aspect of this blog? They list an improvement but no details on how they achieved it. It sounds like a trained embedding model and a vector search. All told though this just reads as boring product talk.
The picture in the article shows what looks like keypoint matching (ie, SIFT, SURF, FAST) between the query picture and the database. This can give an exact location if a picture of the location exists in their database.
They contrasted this with their prior technique which is more of an image classifier that can identify general location from image features. This approach does not require their database to contain a picture of the exact location.
I don't think you missed anything, but I don't think it's intended to be a technical blog either.