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Garbage image classification based on convolutional neural network
Author name 1, Author name 2
(1. Author’s unit, provincial and municipal zip code; 2. Author’s unit, provincial and municipal zip code)
Abstract: Garbage image classification is of great significance in today's society. With the improvement of human living standards and the acceleration of urbanization, the garbage problem has become increasingly prominent. Garbage has a serious impact on the environment, ecosystems and human health, so effective classification and processing of garbage has become crucial.
First, garbage image classification helps achieve sustainable development. By sorting garbage, it helps to maximize the recycling and reuse of resources. For example, separating recyclable materials&#x