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To help the Xbox team determine which technology performs better at detecting unsafe images, our project builds a comparison system that evaluates the performance of two image detection algorithms. The key results include: 1) a system that takes user images and generates similarity scores automatically; 2) an analysis pipeline that analyzes the data in Python and is live-connected with Power BI to show the key metrics. With our pipelines, the Xbox team can easily plug in images and see the comparison results on the dashboards. It eventually improves user experience by helping moderators remove the bad content effectively.