Food Image Classification with Improved MobileNet Architecture and Data Augmentation
Author:
Affiliation:
1. Department of Information Technology, Mahasarakham University, Maha Sarakham, Thailand
2. Multi-agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Maha Sarakham, Thailand
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3388176.3388179
Reference23 articles.
1. Food-101 --Mining Discriminative Components with Random Forests. In Fleet D., Pajdla T., Schiele B., Tuytelaars T. (eds) Computer Vision -- ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, Springer;Bossard L.;Cham.,2014
2. Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals
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