Water surface garbage detection based on lightweight YOLOv5

• Published in: Scientific reports Vol. 14; no. 1; p. 6133
• Main Authors: Chen, Luya, Zhu, Jianping
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 13.03.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 704/158; Algorithms; Attention mechanism; Deep learning; Economic growth; Garbage detection; Humanities and Social Sciences; Lightweight convolution; Lightweight model; multidisciplinary; Refuse; Science; Science (multidisciplinary); Attention mechanism; Lightweight model; Lightweight convolution; Garbage detection

With the development of deep learning technology, researchers are increasingly paying attention to how to efficiently salvage surface garbage. Since the 1980s, the development of plastic products and economic growth has led to the accumulation of a large amount of garbage in rivers. Due to the large...