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TwitterThe **Food-11 dataset **is a standard computer vision dataset that involves classifying images containing a 11 food or non-food items. `# Dictionary of all the classes/labels in the dataset. You can use it directly into your code in the form of a Python Dictionary.
DATASET_LABELS = { '0': "Bread", '1': "Dairy product", '2': "Dessert", '3': "Egg", '4': "Fried food", '5': "Meat", '6': "Noodles/Pasta", '7': "Rice", '8': "Seafood", '9': "Soup", '10': "Vegetable/Fruit" }` This dataset contains exact 16,643 images divided into T**raining, Validation and Evaluation** categories. The dataset was developed by** Ecole Polytechnique Fédérale de Lausanne (EPFL).** The naming convention is used, where** ID 0-10 **refers to the 11 food categories respectively.
Download Size: 1.16 GB The data-set follows the following structure: --- food11 dataset | |--- Training (contains 9866 images) | |--- Validation (contains 3430 images) | |--- Evaluation (contains 3347 images)
This data-set has been downloaded from the official Ecole Polytechnique Fédérale de Lausanne (EPFL) website: Link
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## Overview
Food 11 is a dataset for classification tasks - it contains Objects annotations for 8,276 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Dataset Card for Food-101
Dataset Summary
This dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of intense colors and sometimes wrong labels. All images were rescaled to have a maximum side length of 512 pixels.
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/ethz/food101.
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## Overview
Food Detection is a dataset for object detection tasks - it contains Objects annotations for 349 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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## Overview
Fridge Food Images is a dataset for object detection tasks - it contains Vegetables Fruits annotations for 2,377 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Exposed Food is a dataset for object detection tasks - it contains Exposed Food annotations for 807 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
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Fruit Object Detection is a dataset for an object detection task. Possible applications of the dataset could be in the food industry. The dataset consists of 4474 images with 22576 labeled objects belonging to 11 different classes including pear, apple, grape, and other: pineapple, durian, korean melon, watermelon, tangerine, lemon, cantaloupe, and dragon fruit
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TwitterDirect upload of the CNFood-241 dataset created by Fan Bokun. All content below taken directly from the dataset's page on Mendeley Data. To my knowledge, this is one of the most robust dataset of Chinese dishes out there. Image labels are in Chinese and English.
A few notes: - Some images contain watermarks. - The original English translations are not especially good. I've made some updates and will probably update the translations further as I work with the dataset myself.
(This is an especially valuable resource, as the slightly less robust ChineseFoodNet dataset, which was used to build part of this dataset, is currently unavailable for download.)
Version 1 Published: 11 Aug 2022
Description: Contains a dataset of 241 Chinese dishes with 191,811 images. There are 170843 images in the training set and 20943 images in the validation set. All images are resized to 600x600. As some of the images in the dataset are from ChineseFoodNet, they are not supported for commercial use.
Institutions: Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, University of the Chinese Academy of Sciences
License: CC BY NC 3.0
Cite this dataset: 范, 博坤 (2022), “CNFOOD-241”, Mendeley Data, V1, doi: 10.17632/fspyss5zbb.1
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUSR0000SAF11) from Jan 1952 to Sep 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.
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Graph and download economic data for Manufacturers' Total Inventories: Food Products (A11STI) from Jan 1992 to Aug 2025 about inventories, nondurable goods, food, production, goods, manufacturing, industry, and USA.
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Graph and download economic data for Manufacturers' Value of Shipments: Food Products (U11SVS) from Jan 1992 to Aug 2025 about shipments, nondurable goods, food, production, goods, manufacturing, industry, and USA.
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Graph and download economic data for Manufacturers' Finished Goods Inventories: Food Products (U11SFI) from Jan 1992 to Aug 2025 about finished, fabrication, inventories, nondurable goods, food, production, goods, manufacturing, industry, and USA.
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Graph and download economic data for Manufacturers' Materials and Supplies Inventories: Food Products (A11SMI) from Jan 1992 to Jul 2025 about fabrication, materials, supplies, inventories, nondurable goods, food, production, goods, manufacturing, industry, and USA.
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License information was derived automatically
## Overview
Food ENG CMU is a dataset for object detection tasks - it contains Foods annotations for 1,588 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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License information was derived automatically
## Overview
Food Detection Union is a dataset for object detection tasks - it contains Objects annotations for 51,343 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUUS0000SAF11) from H1 1984 to H1 2025 about food, urban, consumer, CPI, housing, price index, indexes, price, and USA.
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The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States. It provides the foundation for most food composition databases in the public and private sectors.
This version, Release 28 (SR28) is the last of the series, latest revision: May 2016, contains data on 8,789 food items and up to 150 food components. It replaces SR27, initially issued in August 2014 and revised in May 2015.
Excessive information on the research and the database can be found in the PDF file included.
The xlsx and csv files uploaded are the shortened version. They contain data for all food items but not all nutrient values - starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included.
To download the extended dataset, please visit: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/methods-and-application-of-food-composition-laboratory/mafcl-site-pages/sr11-sr28/
US Department of Agriculture, Agricultural Research Service. 2016. Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28 (Slightly revised). Version Current: May 2016. http://www.ars.usda.gov/nea/bhnrc/mafcl
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Graph and download economic data for Manufacturers' Value of Shipments: Meat, Poultry, and Seafood Product Processing (A11CVS) from Jan 1992 to Aug 2025 about poultry, shipments, meat, nondurable goods, food, production, goods, manufacturing, industry, and USA.
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Graph and download economic data for Manufacturers' Total Inventories: Dairy Product Manufacturing (U11BTI) from Jan 1992 to Aug 2025 about dairy, inventories, nondurable goods, food, production, goods, manufacturing, industry, and USA.
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Graph and download economic data for Nasdaq US Benchmark Food Products Index (NASDAQNQUSB45102020) from 2011-06-06 to 2025-11-07 about NASDAQ, food, production, indexes, and USA.
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TwitterThe **Food-11 dataset **is a standard computer vision dataset that involves classifying images containing a 11 food or non-food items. `# Dictionary of all the classes/labels in the dataset. You can use it directly into your code in the form of a Python Dictionary.
DATASET_LABELS = { '0': "Bread", '1': "Dairy product", '2': "Dessert", '3': "Egg", '4': "Fried food", '5': "Meat", '6': "Noodles/Pasta", '7': "Rice", '8': "Seafood", '9': "Soup", '10': "Vegetable/Fruit" }` This dataset contains exact 16,643 images divided into T**raining, Validation and Evaluation** categories. The dataset was developed by** Ecole Polytechnique Fédérale de Lausanne (EPFL).** The naming convention is used, where** ID 0-10 **refers to the 11 food categories respectively.
Download Size: 1.16 GB The data-set follows the following structure: --- food11 dataset | |--- Training (contains 9866 images) | |--- Validation (contains 3430 images) | |--- Evaluation (contains 3347 images)
This data-set has been downloaded from the official Ecole Polytechnique Fédérale de Lausanne (EPFL) website: Link