Jianhua Wang, Haozhan Wang, Journal of Information Processing Systems Vol. 21, No. 1, pp. 52-62, Mar. 2025  

https://doi.org/10.3745/JIPS.04.0335
Keywords: Orchid Types, Classification Algorithm, Data Enhancement
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Abstract

In order to address the issue of low accuracy rate of current orchid type classification methods due to their similarities in the characteristics of orchid types, an effective orchid type classification method using data enhancement is suggested in this work, whose contribution depends on the utilization of data enhancement technologies, which can efficiently enhance the orchid type classification accuracy rate by providing sufficient and balanced sample sets. Specifically, in our approach, firstly, an image set of 12 orchid types containing 12,227 images is established; secondly, the characteristics of the above orchid image dataset are analyzed and studied; thirdly, the reasons for the processing difficulties are identified based on the above orchid image set at last, some data enhancement technologies are applied to improve the classification accuracy rate of orchid types, which can also enhance the whole performance of orchid type classification. The experimental results display that our suggested classification method using data enhancement in the article can achieve a classification accuracy of 92.65% compared with the one not using data enhancement under the condition of insufficient and unbalanced image datasets.

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