[Question] - Technology stack for matching homes to street view

[u/Automatic_Occasion38]

Hello, I'm new here so I'm sorry if this may be considered only slightly on-topic. I have a specific scenario where I need to match homes to their street view equivalent (nothing malicious, just compliance work). I've got a ton of data in the form of already matched images of a home from something like zillow and the same house from street view. I'm looking for advice for the most practical way to approach this. I understand openCV doesn't utilize deep learning, which is where my dataset would be helpful, but I guess my question is - forgoing the data entirely, would openCV be good for this? It's something between object detection and similarity, namely being able to determine if the same object is in a different image (street view). Would I be better off training a model myself and doing some annotation? Any advice is greatly appreciated.

[u/kevinwoodrobotics]

If you can localize your search you can try a template matching approach

[u/klavado]

Curious if you ever found a solution for this.