Garbage Classification System Based on Deep Learning
In order to solve the problem of garbage classification, this paper developed a garbage classification system in the form of mini program. The Huawei Cloud garbage classification competition dataset is used for this system. The PaddlePaddle framework is used to train the classification model for garbage classification. The garbage classification system can meet the users' demand for garbage image query, and this system is simple and easy to use. It is of great significance to the implementation of garbage classification policy.
Authors
- Chenglong Ye (ORCID: https://orcid.org/0000-0002-4580-8738)
- Nana He
- Xiangyu Gu
- Guanglei Qi (ORCID: https://orcid.org/0000-0003-4469-2347)
- Kaiqi Wang (ORCID: https://orcid.org/0009-0008-5962-3647)
Institutions
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/aidlnn65358.2024.00009
- Citations
- 3
- Primary Topic
- Text and Document Classification Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.04