Deep Learning

This project presents a deep learning method to enhance compressed images specifically for machine learning tasks, addressing the performance degradation caused by image distortions such as blurring and blocking. The approach combines an image restoration network and a classification network to optimize compressed image quality for machine consumption.

This project aims to protect digital privacy by using a deep learning model, YOLOv8n, to detect sensitive information in WeChat screenshots. The model addresses privacy concerns by automatically identifying and allowing anonymization of personal details, enhancing security in digital media sharing.