Need guidance DL problem

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1

I’m working on a project where I need to compare a given image with a set of say 20 images at a time and determine which one is the closest match. I’m looking for guidance or references to models, algorithms, or methodologies that can handle this type of problem efficiently.

The core requirements are:

  1. Extracting features from images to represent them in a comparable format.
  2. Matching the given image to the most similar image from a dataset (like image similarity or retrieval tasks).

If anyone has experience with a similar problem, knows of pre-trained models, research papers, or code repositories, or can suggest the best approach to solve this, I’d really appreciate your help!

Thanks in advance!

2

Check both the Deep Learning Specialization and the Tensorflow Advanced Techniques Specialization, as far as I remember there is a similar example in one of the courses!

3

Thank you sir let me just go through both the courses and see if there’s something helpful for me.

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