How to implement a search engine-like function through a deep learning model?

[MicPie (Michael)]

You can use that as a starting point:

Share your work here

We implemented a pretty amazing 2019 paper for image similarity / image retrieval using fast.ai. It’s of much lower complexity than other state-of-the-art methods (e.g. no triplet mining required), as fast to train as regular image classification DNNs, and has results which are on-par or better than the best previous published results. Repository: https://github.com/microsoft/computervision-recipes/tree/master/scenarios/similarity [imsim_example1]

but for the embedding you could only use 2D instead of more dimensions.

However, I am not sure if this can work with only 2D, but I would be happy to know if you find out.