Detection of recyclable solid waste using convolutional neural networks and PyTorch
Jhandry R. Lapo,
Oscar M. Cumbicus-Pineda
Abstract:Waste management in the recycling business is a time-consuming and labor-intensive process. In this context, the need to improve accuracy and reduce the time associated with this process is highlighted. In order to improve the classification of recyclable solid waste and streamline the waste management process, the creation of a convolutional neural network (CNN) model using PyTorch was proposed. The MLOps methodology was implemented in the development of the proposed model. In the first phase, an interview wa… Show more
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