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September 10, 2025Theoretical and Natural ScienceOpen Access

Analysis of Machine Learning Recognition Method for Garbage Classification

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Authors

JFJiaxin Fu

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Overview

This analysis evaluates machine learning methods for garbage classification, indicating potential for improved urban waste management.

Key Points

  • Real-time recognition of waste enhances efficiency in garbage classification, promoting better waste management practices.
  • Image classification using convolutional neural networks and statistical methods shows superiority in recognizing waste types accurately.
  • Utilizing the TrashNet dataset, the study compares models based on accuracy and inference time to determine the best performing algorithms.
  • Optimization suggestions may improve both algorithm performance and efficiency in real-world applications, supporting smart governance.

Cite This Study

Jiaxin Fu (2025) studied this question.

synapsesocial.com/papers/68c1d5e554b1d3bfb60f8760https://doi.org/10.54254/2753-8818/2025.ad26349
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