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  4. Vol 6, Issue 1, 2025

Research on Optimization of Image Recognition Technology Based on Deep Learning

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DOI: 10.23977/autml.2025.060110 | Downloads: 18 | Views: 456

Author(s)

Yihe Zhang 1, Jixiang Bai 2, Jiayuan Wang 3, Qihao Zhou 4, Xianqu Feng 5

Affiliation(s)

1 International College, Hebei University, Baoding, 071000, China
2 College of Transportation Engineering, Dalian Maritime University, Dalian, 116000, China
3 College of Information Engineering, Minzu University of China, Beijing, 100081, China
4 School of Computer Science and Technology, Shenyang Institute of Engineering, Shenyang, 110136, China
5 College of Science, Minzu University of China, Beijing, 100080, China

Corresponding Author

Yihe Zhang

ABSTRACT

Deep learning technology, as a core driving force in the field of artificial intelligence, has achieved breakthrough progress in image recognition in recent years. With the improvement of computational capabilities, the construction of large-scale datasets, and the innovation of deep neural network algorithms, image recognition technology based on deep learning has moved from laboratory research to practical applications, showing enormous potential in many fields such as medical diagnosis, security monitoring, and intelligent driving.

KEYWORDS

Deep Learning; Image Recognition; Convolutional Neural Network; Multimodal Features; Algorithm Optimization

CITE THIS PAPER

Yihe Zhang, Jixiang Bai, Jiayuan Wang, Qihao Zhou, Xianqu Feng, Research on Optimization of Image Recognition Technology Based on Deep Learning. Automation and Machine Learning (2025) Vol. 6: 90-95. DOI: http://dx.doi.org/10.23977/autml.2025.060110.

REFERENCES

[1] Hu Yaoyu, Wang Yuming, Liu Chenyu, et al. Design of a commodity intelligent pricing system based on deep learning and image recognition technology[J]. Internet of Things Technologies, 2025, 15(07): 55-58. DOI: 10.16667/j.issn.2095-1302.2025.07.011.
[2] Ge Shilong, Lü Xinyue, Qu Mingshan, et al. Research on a nitrogen deficiency diagnosis model for strawberry leaves based on convolutional neural network[J/OL]. Vegetables, 1-9 [2025-04-03]. https://gfgfy2b08d79e045e4fd4hppvn9p6wpqqc6k9qficg.res.gxlib.org.cn/kcms/detail/11.2328.S.20250401.1529.002.html.
[3] Hou Wenhui, Guo Dandan, Zhou Chuanqi, et al. A method for identifying surface defects of Dangshan pears based on weakly supervised semantic segmentation[J/OL]. Transactions of the Chinese Society of Agricultural Engineering, 1-9 [2025-04-03]. https://gfgfy2b08d79e045e4fd4hppvn9p6wpqqc6k9qficg.res.gxlib.org.cn/kcms/detail/11.2047.s.20250331.1500.042.html.
[4] Jiang Yi, Jiang Yu, Wang Lei. A method for precise target recognition of mining robots using deep learning[J]. China Science and Technology Information, 2025, (07): 66-68.
[5] Du Zihuan, Gao Shuai. Artificial intelligence: A new driving force for exploring the development process of gametes and embryos[J/OL]. Scientia Sinica Vitae, 1-14 [2025-04-03]. https://gfgfy2b08d79e045e4fd4hppvn9p6wpqqc6k9qficg.res.gxlib.org.cn/kcms/detail/11.5840.Q.20250331.0909.002.html.
[6] Deng Xianghong, Yang Shuang, Long Tieguang. Image recognition of monkeypox disease based on a residual convolutional neural network model[J]. Science, Technology and Innovation, 2025, (06): 40-42 + 47. DOI: 10.15913/j.cnki.kjycx.2025.06.011.
[7] Lu Zhengzhi, Huang Xichen, Peng Bo. A review of adversarial attack technologies for single-object tracking[J/OL]. Computer Engineering and Applications, 1-16 [2025-04-03]. https://gfgfy2b08d79e045e4fd4hppvn9p6wpqqc6k9qficg.res.gxlib.org.cn/kcms/detail/11.2127.TP.20250326.1525.021.html.
[8] Hu Gaokai, Niu Yanan, Gong Yukang, et al. Research progress on the application of deep learning in the diagnosis, surgical planning and postoperative prediction of lumbar diseases[J]. The Journal of Practical Medicine, 2025, 41(06): 921-928.
[9] Sun Tao, Wang Shuhao, Wang Wei. Application of edge computing in the field of pathological image recognition[J]. Chinese Journal of Medical Physics, 2025, 42(03): 328-335. 
[10] Luo Xichang, Chen Hao, Zhang Yali, et al. A method for identifying snow accumulation on expressways based on traffic cameras[J]. Information Technology, 2025, (03): 35-41. DOI: 10.13274/j.cnki.hdzj.2025.03.006.
[11] Gou Lei, Zhang Wenjing, Zeng Mi, et al. Current application status of artificial intelligence in the diagnosis and treatment of aphasia[J/OL]. Guangdong Medical Journal, 2025, (03): 1-7 [2025-04-03]. https://gfgfy7789d7bbe5f747dbsppvn9p6wpqqc6k9qficg.res.gxlib.org.cn/10.13820/j.cnki.gdyx.20241631.

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