Garbage Bin Classification Using Convolutional Neural Networks with Clean and Noisy Bin Images
Keywords:
AlexNet; VGG16; CNN; Garbage Bin; Image Classification; Smart CityAbstract
This research focuses on Garbage Bin Classification. It investigates the efficacy of Convolutional Neural Networks (CNN) when
employed on 2D garbage bin images belonging to both clean and noisy datasets. The study encompasses the collection of a primary
dataset comprising 2D images, subsequently introducing four distinct types of noise, such as the Gaussian, Salt & Pepper, Poisson,
and Uniform.
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