Recognition of food images based on transfer learning and ensemble learning

The recognition of food images is of great significance for nutrition monitoring, food retrieval and food recommendation. However, the accuracy of recognition had not been high enough due to the complex background of food images and the characteristics of small inter-class differences and large intr...

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Veröffentlicht in:	PloS one 2024-01, Vol.19 (1), p.e0296789-e0296789
Hauptverfasser:	Bu, Le, Hu, Caiping, Zhang, Xiuliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Analysis Artificial neural networks Classification Datasets Deep learning Ensemble learning Food Food habits Health aspects Knowledge transfer Machine learning Methods Neural networks Nutrition monitoring Nutrition research Transfer learning
Online-Zugang:	Volltext
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