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What is Fruit Classification Using ResNet and Attention about?

This paper discusses the classification of fruits using a ResNet model enhanced with an attention mechanism, addressing the inefficiencies of traditional manual classification methods. The proposed model demonstrates high accuracy (98%) in fruit classification using the Fruit360 dataset, significantly outperforming other machine learning methods. The study concludes that while the ResNet model with attention improves classification performance, it requires more training time and suggests further research to

Author

hieuchienbn321

Language

EN