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Crowdsource Study and Predictor of Compressed Picture Quality

Oftentimes, images can be compressed without a human perceiving a difference. In our project, we train a deep learning model to replicate human perception of image quality based on data collected from a massive crowdsourcing study. This model could automatically predict the best compression level of images, potentially saving huge amounts of memory and bandwidth.

Team Members: 

Arkan Abuyazid

Shehryar Ahmed

Brandon Lee

Akash Shukla

Meenakshi Swaminathan

Kan Vanthanasuksan