Image classification of pork primal cuts using an enhanced efficientnet architecture

Siwula Ha

doi:10.1117/12.3048052

3 October 2024 Image classification of pork primal cuts using an enhanced efficientnet architecture

Siwula Ha

Author Affiliations +

Proceedings Volume 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024); 1327214 (2024) https://doi.org/10.1117/12.3048052
Event: 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), 2024, Changchun, China

Abstract

Automatic classification of pork primal cuts holds significant application value in the food processing industry. To improve the accuracy of pork primal cut image classification, this paper proposes a classification model based on an enhanced EfficientNet-B0 architecture. Firstly, a pork primal cut dataset is constructed, covering various common cuts such as pork belly and pork loin. Secondly, to improve the performance of existing models, a Dynamic Channel Attention Module (DynaCAM) is designed and integrated into EfficientNet-B0. Experiments are then conducted on the self-constructed pork primal cut dataset and miniImageNet. The results demonstrate that the enhanced model achieves optimal classification performance on the pork primal cut dataset while maintaining low parameter count and computational complexity. Although its performance on miniImageNet is inferior to certain large-scale models, considering both accuracy and efficiency, the proposed method still possesses significant application potential and provides new insights for the intelligent upgrade of the food processing industry.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Siwula Ha "Image classification of pork primal cuts using an enhanced efficientnet architecture", Proc. SPIE 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024), 1327214 (3 October 2024); https://doi.org/10.1117/12.3048052

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KEYWORDS

Performance modeling

Image classification

Data modeling

Education and training

Image enhancement

Image processing

Laser induced breakdown spectroscopy

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