Convolutional Neural Networks for Face Detection and Face Mask Multiclass Classification

Campos, Alexis; Melín, Patricia; Sánchez, Daniela

doi:10.1007/978-3-031-27409-1_2

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-27409-1_2

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Convolutional Neural Networks for Face Detection and Face Mask Multiclass Classification

Alexis Campos

Patricia Melín

Daniela Sánchez

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2023

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Cited by 1 publication

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Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification

Melin,

Sánchez,

Pulido

et al. 2023

MCA

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The preventive measures taken to curb the spread of COVID-19 have emphasized the importance of wearing face masks to prevent potential infection with serious diseases during daily activities or for medical professionals working in hospitals. Due to the mandatory use of face masks, various methods employing artificial intelligence and deep learning have emerged to detect whether individuals are wearing masks. In this paper, we utilized convolutional neural networks (CNNs) to classify the use of face masks into three categories: no mask, incorrect mask, and proper mask. Establishing the appropriate CNN architecture can be a demanding task. This study compares four swarm intelligent metaheuristics: particle swarm optimization (PSO), grey wolf optimizer (GWO), bat algorithm (BA), and whale optimization algorithm (WOA). The CNN architecture design involves determining the essential hyperparameters of the CNNs. The results indicate the effectiveness of the PSO and BA in achieving an accuracy of 100% when using 10% of the images for testing. Meanwhile, when 90% of the images were used for testing, the results were as follows: PSO 97.15%, WOA 97.14%, BA 97.23%, and GWO 97.18%. These statistically significant differences demonstrate that the BA allows better results than the other metaheuristics analyzed in this study.

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Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification

Melin,

Sánchez,

Pulido

et al. 2023

MCA

Self Cite

View full text Add to dashboard Cite

show abstract

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Convolutional Neural Networks for Face Detection and Face Mask Multiclass Classification

Cited by 1 publication

References 12 publications

Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification

Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification

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