Food Computing

Datasets

1 、Dataset name : Geolocation-food
     Dataset description : Selected six regions, a total of 117504 pictures. Among them, Beijing 187 restaurants, 1173 dishes, 45541 pictures. Shanghai 198 restaurants, 1253 dishes, 37590 pictures. Tianjin 78 restaurants, 435 dishes, 10811 pictures. Nanjing 64 restaurants, 328 dishes, 7895 pictures. Hangzhou 62 restaurants, 371 dishes, 9124 pictures. Guangzhou 57 restaurants, 272 dishes, 6543 pictures.
      Download address : http://123.57.42.89/Dataset_ict/Geolocation-food%28Dishes%29/Geolocation-food/
     Papers cited : Ruihan Xu, Luis Herranz, Shuqiang Jiang, Shuang Wang, Xinhang Song, Ramesh Jain: Geolocalized Modeling for Dish Recognition. IEEE Trans. Multimedia 17(8): 1187-1199 (2015)

2 、Dataset name : Yummly-28K
     Dataset description : This dataset is crawled from one recipe-sharing website, Yummly. It has 27,638 recipes in total. Each recipe contains one recipe image, the ingredients, the cuisine and the course information. There are 16 kinds of cuisines (e.g,“American”,“Italian” and “Mexican”) and 13 kinds of recipe courses (e.g, “Main Dishes”,“Desserts” and “Lunch and Snacks”).
      Download address : http://123.57.42.89/Dataset_ict/Yummly-66K-28K/Yummly28K.zip
     Papers cited : Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu, and Luis Herranz. 2017. Being a Super Cook: Joint Food Attributes and Multi-Modal Content Modeling for Recipe Retrieval and Exploration. IEEE Transactions on Multimedia 19, 5 (2017), 1100 – 1113.

3 、Dataset name : Yummly-66K
     Dataset description : This dataset consists of 66,615 recipe items from Yummly, namely Yummly_66K. Each recipe item includes the recipe name, preprocessed ingredient line, recipe image, cuisine and course attribute information, and so on. There are totally 10 kinds of cuisines, 14 kinds of courses and 2,416 ingredients in our dataset.
      Download address :  https://github.com/minweiqing/You-Are-What-You-Eat-Exploring-Rich-Recipe-Information-for-Cross-Region-Food-Analysis
     Papers cited : Weiqing Min, Bing-Kun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui, Shuqiang Jiang. You Are What You Eat: Exploring Multi-modal and Multi-attribute Information from Recipes for Cross-Region Food Analysis. IEEE Trans. on Multimedia 20(4):950-964 (2018)

4 、Dataset name : ISIA Food-200 (200 categories)
    Dataset description : This dataset consists of 197,323 food items, namely ISIA Food-200. Each item includes the food name, food image, main ingredients. There are totally 200 kinds of food dishes.
      Download address :  [Github] [ISIA HomePage]     
     Papers cited : Weiqing Min, Linhu Liu, Zhengdong Luo, and Shuqiang Jiang. Ingredient-guided cascaded multi-attention network for food recognition. In ACM International Conference on Multimedia, 2019: 1331–1339.

5 、Dataset name : ISIA Food-500 (500 categories)
    Dataset description : This dataset consists of 399,726 food items, namely ISIA Food-500. Each item includes the food name, food image. There are totally 500 kinds of food dishes.
      Download address :  [ISIA HomePage]     
     Papers cited : Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei and Shuqiang Jiang. "ISIA Food-500: A dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network", ACM Multimedia, 2020: 393-401.

6 、Dataset name : FoodLogoDet-1500
    Dataset description : This dataset consists of 1,500 categories, 99,768 images and 145,400 objects, namely FoodLogoDet-1500. This is the first largest publicly available high-quality dataset for food logo detection.
      Download address :  http://123.57.42.89/Dataset_ict/FoodLogoDet-1500.zip
     Papers cited : Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang: FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network. ACM Multimedia, 2021: 4670-4679

7 、Dataset name : Food-1K
    Dataset description : We propose this dataset with over 1,000 fine-grained food categories and over 500,000 images for competition in ICCV 2021 Workshop LargeFineFoodAI Large-Scale Fine-Grained Food Analysis.
      Download address :  https://foodai-workshop.meituan.com/foodai2021.html#index


8 、Dataset name : Food-2K
    Dataset description : This dataset consists of 2, 000 categories and over 1 million images. It bypasses existing food recognition datasets in both categories and images by one order of magnitude, and thus establishes a new challenging benchmark to develop advanced models for food visual representation learning.
      Download address :  http://123.57.42.89/FoodProject.html


9 、Dataset name : ZSFooD
    Dataset description : This dataset has 20,603 food images collected in 10 restaurant scenarios, each with multiple food objects annotated with bounding boxes. It consists of 95,322 bounding boxes and 291 classes.
      Download address :  http://123.57.42.89/Dataset_ict/ZSFooD.zip


10 、Dataset name : ISIA Ingredient-201
    Dataset description : In ISIA Ingredient-201, there are 10 super-classes and 201 sub-classes, which covering common types of existing ingredient categories. The ingredient images are collected in five ingredient-related scenarios, and at least 150 ingredient categories were collected in each scenario.
      Download address :  http://123.57.42.89/ISIA-Ingredient201.html