Automatic Detection of Garbage in Rivers using Deep Learning

Abstract

Water pollution is a significant environmental problem that affects the health and wellbeing of humans and wildlife. Garbage in rivers is a primary contributor to water pollution and poses a significant threat to marine life. Detecting and managing garbage in rivers is crucial for effective pollution management and conservation efforts. Traditional methods of detecting trash in rivers are often labor-intensive and time consuming, making it challenging to identify and manage garbage in a timely manner. However, recent advances in deep learning algorithms and the PyTorch framework have shown promise in automating the detection and management of garbage in rivers.