<<<"UEC FOOD 100": 100-kind food dataset (release 1.0)>>>
UEC FOOD-100
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Yuji Matsuda and Keiji Yanai: Recognition of Multiple Food Images by
Detecting Candidate Regions, Proc. of IEEE International Conference on
Multimedia and Expo (ICME), (2012).
<<<"UEC FOOD 256": 256-kind food dataset (release 1.0)>>>
UEC FOOD-256
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Yoshiyuki Kawano and Keiji Yanai: Automatic Expansion of a Food Image
Dataset Leveraging Existing Categories with Domain Adaptation, Proc. of
ECCV Workshop on on Transferring and Adapting Source Knowledge in
Computer Vision (TASK-CV), (2014).
Official split for five-fold CV
Split information on UECFOOD-100/256 for five-fold CV
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Keiji Yanai and Yoshiyuki Kawano: Food Image Recognition using Deep
Convolutional Network with Pre-training and Fine-tuining, Proc. ICME
Workshop on Multimedia for Cooking and eating Activities (CEA), (2015).
New Segmentation Dataset: UEC-FoodPix / UEC-FoodPix Complete
UEC-FoodPix / UEC-FoodPix Complete Project HP
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Kaimu Okamoto and Keiji Yanai: UEC-FoodPix Complete: A Large-scale Food
Image Segmentation Dataset, Proc. of ICPR Workshop on Multimedia
Assisted Dietary Management (MADIMA), (2021).
School Lunch Dataset
School Lunch Data (3940 multiple dish images with bounding boxes
on 21-class labels)
- Takumi Ege and Keiji Yanai: Estimating Food Calories for
Multiple-dish Food Photos, Proc. of Asian Conference on Pattern
Recognition (ACPR), (2017).