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