Towards cleaner environments: A study of deep learning models for plastic bottle detection

The widespread use of plastic bottles in our daily lives is contributing to significant environmental issues, particularly in marine ecosystems. A substantial quantity of plastic bottles is being carried back to the mainland from the sea by waves, often becoming trapped in coastal areas. The detrimental impact of plastic waste, including plastic bottles, on coastal ecology is a matter of concern. Thankfully, artificial intelligence (AI) has found diverse applications in various sectors, including environmental initiatives, offering promising solutions to combat these environmental challenges effectively. This report aims to provide a classification of bottle plastic using data images in various situations. We preprocess with the dataset and we apply different artificial intelligence algorithms to perform this classification. The CNN model achieved the highest ACC, reaching an impressive 99%.