Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification

Abstract Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks. However, their performance is highly dependent...

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Bibliografiska uppgifter

Huvudupphov:	Mohammed Hussain, Thaer Thaher, Mohamed Basel Almourad, Majdi Mafarja
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2024-12-01
Serie:	Scientific Reports
Ämnen:	Computer vision Logo classification Convolution neural network Hunger games search Hyperparameters Metaheuristics
Länkar:	https://doi.org/10.1038/s41598-024-82022-5
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