The Garbage Classification model

[Aditijainnn]

The Garbage Classification Dataset contains 6 classifications: cardboard (393), glass (491), metal (400), paper(584), plastic (472) and trash(127).

A garbage classification model is a machine learning system designed to categorize waste into distinct types, such as cardboard, glass, metal, paper, plastic, and trash. By automating the sorting process, it enhances recycling efficiency and reduces environmental impact. This technology is crucial for waste management industries, aiding in proper disposal and recycling efforts.

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