Research on the Application of Deep Learning Methods in the Field of Image Classification

With the rapid development of image classification technology, it has become a current research hotspot to apply image classification technology to various fields and to improve the accuracy and efficiency of image classification technology in various fields. In the field of fruit classification and...

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Main Author: Peng Yuhui
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04036.pdf
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author Peng Yuhui
author_facet Peng Yuhui
author_sort Peng Yuhui
collection DOAJ
description With the rapid development of image classification technology, it has become a current research hotspot to apply image classification technology to various fields and to improve the accuracy and efficiency of image classification technology in various fields. In the field of fruit classification and textile, the application of image classification technology has been widely concerned. This paper reviews the current research status of image classification models, focusing on the application of DenseNet-201, Xception, MobileNetV3-Small and ResNet-50 models in the fruit field. The application of deep learning methods such as Convolutional Neural Network, Recurrent Neural Networks and Long Short-Term Memory in image classification is also discussed. In this paper, it is concluded that these models have achieved high accuracy in fruit classification and the textile field, especially the combination of CNN, RNN and LSTM deep learning methods for feature fusion can enhance the accuracy and robustness of the model. In addition, this paper also discusses the limitations of the current research and makes some suggestion.
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institution Kabale University
issn 2271-2097
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series ITM Web of Conferences
spelling doaj-art-b47267d169114144813c2316e67d3bbb2025-02-07T08:21:11ZengEDP SciencesITM Web of Conferences2271-20972025-01-01700403610.1051/itmconf/20257004036itmconf_dai2024_04036Research on the Application of Deep Learning Methods in the Field of Image ClassificationPeng Yuhui0School of Computer Science and Technology, Hainan UniversityWith the rapid development of image classification technology, it has become a current research hotspot to apply image classification technology to various fields and to improve the accuracy and efficiency of image classification technology in various fields. In the field of fruit classification and textile, the application of image classification technology has been widely concerned. This paper reviews the current research status of image classification models, focusing on the application of DenseNet-201, Xception, MobileNetV3-Small and ResNet-50 models in the fruit field. The application of deep learning methods such as Convolutional Neural Network, Recurrent Neural Networks and Long Short-Term Memory in image classification is also discussed. In this paper, it is concluded that these models have achieved high accuracy in fruit classification and the textile field, especially the combination of CNN, RNN and LSTM deep learning methods for feature fusion can enhance the accuracy and robustness of the model. In addition, this paper also discusses the limitations of the current research and makes some suggestion.https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04036.pdf
spellingShingle Peng Yuhui
Research on the Application of Deep Learning Methods in the Field of Image Classification
ITM Web of Conferences
title Research on the Application of Deep Learning Methods in the Field of Image Classification
title_full Research on the Application of Deep Learning Methods in the Field of Image Classification
title_fullStr Research on the Application of Deep Learning Methods in the Field of Image Classification
title_full_unstemmed Research on the Application of Deep Learning Methods in the Field of Image Classification
title_short Research on the Application of Deep Learning Methods in the Field of Image Classification
title_sort research on the application of deep learning methods in the field of image classification
url https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04036.pdf
work_keys_str_mv AT pengyuhui researchontheapplicationofdeeplearningmethodsinthefieldofimageclassification