Classification of marine garbage image based on ResNet50 network

Miao Dai; Youfu Jiang; Bei Pan

doi:10.1117/12.2671344

16 March 2023 Classification of marine garbage image based on ResNet50 network

Miao Dai, Youfu Jiang, Bei Pan

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930B (2023) https://doi.org/10.1117/12.2671344
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

Abstract

In order to improve the efficiency of marine garbage classification, this study first enhances and processes the data set, then uses ResNet50 network model and modifies its lowest layer of network, and finally obtains the accuracy in different cycles through training and verification. The results show that the accuracy of the network model trained in this study is as high as 96% under the most stable cycle.

Citation Download Citation

Miao Dai, Youfu Jiang, and Bei Pan "Classification of marine garbage image based on ResNet50 network", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930B (16 March 2023); https://doi.org/10.1117/12.2671344

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