In-depth Amazon Rekognition Tutorial related to face comparison

I'm looking for a comprehensive, written tutorial focused on the advanced algorithm details and usage of Amazon Rekognition, specifically its face comparison features. Key Requirements: - The tutorial should be tailored for intermediate developers who have some experience in machine learning. - An elaborated, easy-to-understand description about the algorithm of face comparison (on top of that, photos and similarity score will be given, the freelancer needs to give an explanation about the rationale behind the similarity) - Prior experience with AWS and machine learning is a plus. The ultimate goal is to provide a tutorial that is not only informative but also engaging and helpful for developers looking to deepen their understanding of Amazon Rekognition's capabilities.