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  • Food dataset 1346 Indonesian food and drink nutritional data along with images Indonesian Food and Drink Nutrition Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Yassine, and S. You can search, download, and share datasets on Kaggle's platform. The dataset can be used to answer a lot of questions related to Food Recipes. However, SAM Aug 6, 2021 · This paper introduces a new Vietnamese food dataset named VinaFood21, which consists of 13,950 images corresponding to 21 dishes. Sign In. Among them, UEC-FoodPix is a large-scale food image segmentation dataset which consists of 10,000 food images with These databases, datasets, and data collections may be maintained by ARS or by ARS in cooperation with other organizations. Dataset Details Dataset Description The Food-101 dataset is a large-scale dataset for food recognition, consisting of 101,000 images across 101 different food categories. Backend Developement The application is built using the FastAPI framework, which allows for the creation of fast and efficient web APIs. The following data comes from the United States Department of Agriculture’s Food Composition Database. Nutrition facts for 8,800+ foods, including macronutrients, vitamins, minerals, and more; Ideas for analysis The OpenNutrition Dataset is a comprehensive collection of food and nutrition da OpenNutrition Foods Database | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. A food scientist analyzes a 2-level factorial design to determine how preservative type, vacuum packaging pressure, contamination level, and cooling temperature affect the spoilage of fruit. g. While the RecipeNLG dataset is based on the Recipe1M+ dataset, it greatly expands the number of recipes available. Our World in Data is a project of Global Change Data Lab, a nonprofit based in the UK (Reg. Explore nutrition facts from foods around the world. Source: Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images 16643 food images grouped in 11 major food categories Food-11 image dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Compared with existing food recognition datasets, Food2K bypasses them 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. cal_fat. Cristani, and C. 8k types of food Nutritional values for common foods and products | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This paper introduces a large dataset of 25136 images of 30 popular Vietnamese foods. In the dataset, images of each food category of the dataset consists of not only web recipe and menu pictures but photos taken from real dishes, recipe and menu as well. Name of item. 1186433). Track daily food intake and nutritional values for a health-related ML model. See the Geospatial API documentation for more information. Murino, E. About Dataset The file contains 24K unique figure obtained from various Google resources Meticulously curated figure ensuring diversity and representativeness Provides a solid foundation for developing robust and precise figure allocation algorithms Encourages exploration in the fascinating field of feed figure allocation Unparalleled Diversity Dive into a vast collection spanning culinary Dataset Card for Food-101 Dataset Summary This dataset consists of 101 food categories, with 101'000 images. Food-101 is a dataset of 101,000 images across 101 different food categories, curated by ETH Zurich. In this project, we construct and release a new dataset called VireoFood-172 Dataset, containing 110,241 food images from 172 categories, and annotated manually according to 353 ingredients. Dataset Features Dataset size : 5000+ Captured by : Over 800+ crowdsource contributors Resolution : 99% images HD and above (1920x1080 and above Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Tools to Help You Use the Data. The online search interface provides a convenient way to: Explore food data without downloading the full dataset; Quickly find specific foods or nutritional information; View the data in a user-friendly format before incorporating Food524DB is the largest publicly available food dataset with 524 food classes and 247,636 images by merging food classes from existing datasets in the state of the art. 54% and a high top 5-accuracy of 96. ImageNet [40] comprises a vast collection of over 100,000 object categories, with an average of 1000 labelled images per category. Learn more Data about 255 traditional and famous dishes in India In the dataset, images of each food category of the dataset consists of not only web recipe and menu pictures but photos taken from real dishes, recipe and menu as well. Browse State-of-the-Art May 28, 2021 · There are many Indian meal images publicly available and searchable via Google. For each class, 250 physically assessed test pictures are given as well as 750 preparation pictures. ChineseFoodNet contains over 180,000 food photos of 208 categories, with each category covering a large variations in presentations of same Chinese food. restaurant. Each food class has 1,000 images, with 750 training images and 250 test images per class Labeled food images in 101 categories from apple pies to waffles The Indonesian Food and Drink Nutrition Dataset contains 1346 rows and 8 columns, including information on calories, proteins, fat, carbohydrates, name, and image of Indonesian food and drinks. sat_fat. The number of images and the number of objects for the same type are shown as follows: FAOSTAT provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available. We also have reviews from all other Amazon categories. This database can be used for food recognition. Kaggle offers thousands of datasets on various topics, including food, for data science and machine learning projects. Feb 28, 2020 · Our food dataset is composed of 49,557 images with 80 categories in total, all of which have been collected from the real refrigerator environment. Trans fat In addition to downloading the complete dataset, you can browse and search the OpenNutrition Foods dataset online. Jul 17, 2021 · In this study, we introduce an SWVie-Food dataset consisting of 3,022 images from 50 categories of local foods in southwest Vietnam. 70% (42 classes) on the CAFD using the ResNet152 neural network model. I decided to use that to curate my Indian Food dataset. com The Food -101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images. Recipe1M+ is a dataset which contains one million structured cooking recipes with 13M associated images. Variety of food and their calories based on serving. 5M store names, product names, descriptions and collection sections gathered from the Glovo application. It's provided as a large-scale benchmark for food image segmentation. The images are rescaled to 512x512 pixels and have some noise and wrong labels. Bon appétit! Zomato Bangalore Restaurants 2022 A food scientist wants to increase the shelf life of fruit at their stores. The Home of the U. Labelling instruction: Label Every Object of Interest in Every Image; Label the Entirety of an Object; Label Occluded Objects, as if they were fully visible (It is a common misconception that boxes cannot overlap. This data set contains participation and cost data for SNAP. The labels for the test images have been manually cleaned, while the training set contains some noise. Use the search to filter for: "Agricultural Research Service" under "OMB Bureau Code" and The datasets for the 2021 Global Nutrition Report contain data for all the indicators used in this year's country profiles. Then, we fine-tune deep learning models for recognizing foods. 07% were achieved. 5M unique images and over 9. You can use this data to demonstrate Analyze Binary Response for Factorial Design . Food 101 dataset comprises of 101 food classifications, with 101,000 pictures. Get Excel-compatible CSV files or JSON formats. Source: ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network FOOD-101 dataset has 101 classes of data; Even with fine tuning using a pre-trained model, each epoch was taking more than an hour when all 101 classes of data is Aug 1, 2020 · Please note that in its full view, the human thumb in each image is approximately 5 cm by 1. trans_fat. The dataset and the performance comparison of state-of-the-art algorithm In the dataset, images of each food category of the dataset consists of not only web recipe and menu pictures but photos taken from real dishes, recipe and menu as well. com. Segment anything Model(SAM) demonstrates significant performance on various segmentation benchmarks, showcasing its impressing zero-shot transfer capabilities on 23 diverse segmentation datasets. These data are serum urea nitrogen and creatinine levels for polar bears captured in the southern Beaufort Sea 1983-2016 and the Chukchi Sea 1987-1993 and 2008-2017. The number of images and the number of objects for the same type are shown as follows: 1346 Indonesian food and drink nutritional data along with images Indonesian Food and Drink Nutrition Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images. The Indian Food Recipes dataset comprises 6871 entries sourced from Archana's Kitchen, offering detailed information on recipes, ingredients, cooking times, servings, cuisines, courses, and dietary preferences, facilitating culinary exploration. In contrast, Food-101 consists of 101 food Dataset Card for RecipeNLG Dataset Summary RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation. Data is already stored in train-test (train-validation) split format. In the paper, Food-101 – Mining Discriminative Components with Random Forests, they introduce the Food-101 dataset. The This dataset provides a comprehensive breakdown of the nutritional facts of various foods and beverages. However, SAM The datasets for the 2021 Global Nutrition Report contain data for all the indicators used in this year's country profiles. Calories from fat. Item 1 - estimated calories 2. Nov 1, 2020 · The dataset has been created using Archana's Kitchen Website. python opencv real-time object-detection rtsp-stream streamlit roboflow food-detection yolov10 vietfood67 Track daily food intake and nutritional values for a health-related ML model. UECFOOD-256 (25,088 images and 256 classes) and UECFOOD-100 (14,361 images and 100 classes of food) are Japanese food datasets consisting of Japanese food images captured by users, whereas Food-101(101,000 images and 101 classes) is an American fast food dataset containing images crawled from several websites. The data is compiled from secondary sources including the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), and the World Bank, among many others that have contributed their data. The dataset was divided in training, validation and test splits Chicago Data Portal. Daily Food & Nutrition Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. We divided the images into Ftrain and Ftest for training and evaluation, which contains 46,276 images with 406,548 annotated objects and 3281 images with 45,901 annotated objects respectively. I used Food. The Food-101 Data Set. This scarcity is due to the complexity and labor-intensiveness of collecting multi-modal data with physical food object references. The metadata was collected by us through web searches, and is provided as "best effort", without any guarantee of correctness. Charity No. I was able to find a comprehensive list of 301 Indian Foods on Wikipedia, referred to as IndianFoodList301 (Wikipedia). Use Roboflows food datasets to complete food-related tasks including monitoring food production processes, and analyzing food characteristics. com (GeniusKitchen) online recipe aggregator Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 4M user-recipe interactions (reviews) scraped from Food. 81% when fine-tuning CNN EfficientNet-B0. However, only a few open segmentation image dataset of food images exists. By leveraging our services, you can access valuable data that reveals trends in consumer preferences, pricing strategies, and competitor offerings. This data set contains participation A dataset of 51 common ingredients and groceries used to prepare food. For this purpose, we compare and evaluate leading vision-based and text-based technologies on a new very large multimodal dataset (UPMC Food-101) containing about 100,000 recipes for a total of 101 food categories. The polymorphic shapes and textures of food, coupled with high variation in forms and vast multimodal Apr 22, 2019 · Automatic food identification can assist towards food intake monitoring to maintain a healthy diet. S. 0 datasets. There are 101 different classes of food, with 1000 labeled images per class available for supervised training. The dataset contains 101,000 images that are composed of 101 popular food classes. A core mission of MyFoodData. The dataset and the Explore diverse food, grocery, and liquor datasets driving research, innovation, and decisions across industries, unlocking insights and shaping data-driven futures. Flexible Data Ingestion. You can find the raw files here, along with the documentation. The train-test Improving global health through diet. Food-101N and the Food-101 dataset share the same 101 classes, whereas Food-101N has much more images and is more noisy. total_fat. 2 cm. Pouladzadeh, A. chicken can be substituted with tofu/paneer) You are an expert nutritionist analyzing the image to identify food items and estimate their calorie content and calculate the total calories. The dataset is available on Hugging Face, a collaborative Machine Learning ecosystem where developers and researchers can share models and datasets. Puppo, D. This dataset can be used to analyze the nutritional content of Indonesian cuisine and make informed dietary choices. Apr 16, 2020 · Here, because one of my hobbies is to cook, I would use a dataset from Kaggle regarding the food nutrition value from common food and products. The Food-475 Dataset is a refinement of the Food524DB [1] composite database obtained by sematically merging equivalent food classes of the four food datasets: UECFOOD256 Food is a big part of human life. Sep 3, 2024 · Food computing is both important and challenging in computer vision (CV). Oct 1, 2023 · comparing the performance of food recognition models on publi c and private food image datasets is an intriguing research question. Food-101N is an image dataset containing about 310,009 images of food recipes classified in 101 classes (categories). We present deep experiments of FAOSTAT provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available. Shirmohammadi, “FooDD: Food Detection Dataset for Calorie Measurement Using Food Images”, in New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, V. To get this started, I needed a reliable and comprehensive list of Indian food names. Please provide a detailed report in the format: 1. The MetaFood3D dataset consists of 637 food objects with 108 food types. ’s 2014 paper [1]. Users of myfood24 can search for both generic and branded items from the substantial dataset. ChineseFoodNet contains over 180,000 food photos Download Open Datasets on 1000s of Projects + Share Projects on One Platform. We use 10,044 images for model training and 6,682 test images to classify each food in the VinaFood21 dataset and achieved an average accuracy of 74. We achieved a classification accuracy of 88. com Recipes and Interactions consists of 270K recipes and 1. ECUSTFD (ECUST Food Dataset) Introduced by Liang et al. Usage fastfood Format. Food and non-food image dataset. Each food object includes the following labels: A crowdsourced list of public datasets on the topic of Food - food-datasets/data/food-datasets. Link Jan 5, 2020 · 食品101的数据集包括101个食物类别与750的训练和每个类别250张的测试图像，合计101k图像。测试图像的标签已被手动清理，而训练集包含一些噪声。 Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. csv at master · foodopendata/food-datasets Food2K is a large food recognition dataset with 2,000 categories and over 1 million images. 10-class food image dataset from ImageNet [6], this Food-101 dataset presents some additional challenges. com kaggle dataset Data with over 500,000 recipes and 1,400,000 reviews from Food. Food nutrition dataset . Feb 1, 2024 · We contrast the performances of backbone models pre-trained on the general-purpose dataset (ImageNet [40]) and the food-specific datasets (Food-101 [41], Food2K [42]). The current version of the Food Access Research Atlas data file is available. Food-475 database is one of the largest publicly available food database with 475 food classes and 247,636 images obtained by merging four publicly available food databases. Sansone Food Nutrients: A Macronutrients Dataset food_nutrients is a dataset of visual and nutritional data for ~3k realistic plates of food captured from Google cafeterias using a custom scanning rig. For more information, see the Bureau of Labor Statistics' CE website. We present the World Wide Dishes dataset which seeks to assess disparities in representations of food through a decentralised data collection effort to gather perspectives directly from people with a wide variety of backgrounds from around the globe with the aim of creating a dataset consisting of their insights into their own experiences of foods relevant to their cultural, regional, national FoodSeg103 is a new food image dataset containing 7,118 images. Sep 25, 2018 · An essential part of Groceristar’s Machine Learning team is working with different food datasets, and we spend a lot of time searching, combining or intersecting different datasets to get data that we need and can use in our work. Access FoodData Central's downloadable data. This dataset consists of reviews of fine foods from amazon. This paper deals with automatic systems for image recipe recognition. Number of calories. Jan 5, 2025 · The underlying map services used in the Food Access Research Atlas are also available for both developers and GIS users. 92, trained on the VietFood67 dataset to perform real-time Vietnamese food recognizing. Our charts, articles, and data are licensed under CC BY, unless stated otherwise. The Food-101 is a challenging data set of 101 food categories with 101,000 images. Nov 23, 2022 · food101 is a dataset that contains 101'000 images of 101 different food classes, with 250 test and 750 training images each. Existing datasets for food recognition are either small or do not have ingredient level labels. food products, quantities and their units, names of cooking processes, physical qualities of ingredients, their purpose, and taste. Name of restaurant. The new dataset provides over 1 million new, preprocessed and deduplicated recipes on top of the Recipe1M+ dataset. Food. Food Recognition 2022 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This dataset contains over 1. The database is composed of 247,636 images belonging to 524 food categories. Web data: Amazon Fine Foods reviews Dataset information. The datasets Ingredients101 and Recipes5k were used to evaluate this model: Ingredients 101: It consists of the list of most common ingredients for each of the 101 types of food contained in the Food101 dataset, making a total of 446 unique ingredients (9 per recipe on average). Accurate information on over 100 different nutrients is automatically gathered in ‘real time’. I want to explore this data for both learning and satisfy my own curiosity. com is to provide easy to use and understand nutrition data tools. A web application that use a YOLOv10b model, got mAP50 of 0. Food classification is a challenging problem due to the large number of food categories, high visual similarity between different food categories, as well as the lack of datasets that are large enough for training deep models. Visit this kaggle link for more details. The nutrition facts on this website are driven by the USDA Food Data Central. This is the official PyTorch implementation of our paper: FoodSAM: Any Food Segmentation. Ag Data Commons is searchable for ARS specific and National Program specific datasets. Reviews include product and user information, ratings, and a plaintext review. Browse State-of-the-Art Nutritional values for ~8. Jul 8, 2024 · In this dataset, Named Entity Recognition (NER) models are expected to find or infer various types of entities helpful in processing recipes, e. The former mainly adopts the progressive training strategy to learn complementary multi-scale finer local features, like different ingredient-relevant information. This research will shed light on the potential benefits of Feb 11, 2021 · The dataset contains images of 20 different Indian food items, and has 100 sample images for each food item. Each item in this dataset is represented by one image plus textual information. Food Delivery Datasets - Web Scraping Restaurant Dataset Gain insights into Food Data Scraping and Food Delivery Datasets to enhance your business operations and customer experience. By providing detailed nutrition information, weight, and food codes linked to a comprehensive nutrition database, MetaFood3D aims to enhance algorithm development and application in both food computing and general 3D research. Explore these datasets to uncover hidden gems and trends within the Indian food and entertainment industry. Nutrition5k is a dataset of visual and nutritional data for ~5k realistic plates of food captured from Google cafeterias using a custom scanning rig. This is the GitHub repository for the Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset. While numerous food classification datasets exist, ranging from the classic Food-101 dataset [4] to the latest Food2K dataset [51], datasets for portion estimation or macro-nutrient estimation are significantly fewer. com, covering a period of 18 years (January 2000 to December 2018). Major Challenges: High intra-variance of the same food ingredient with different cooking methods Long-tail distribution Complicated contexts ChineseFoodNet aims to automatically recognizing pictured Chinese dishes. Several machine learning and deep learning image classification techniques have been applied to test the dataset and the results were compared and report. Food2K can be further explored to benefit more food Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Search Search Feb 21, 2021 · Currently, many segmentation image datasets are open to the public. Includes 500 categories from the list in the Wikipedia and 399,726 images, a more comprehensive food dataset that surpasses existing popular benchmark datasets by category coverage and data volume. For one, the ImageNet food image dataset contains relatively distinct and few food categories (apple, banana, broccoli, burger, egg, The dataset contains food and nutrient data from the following: food composition tables, manufacturers, fast food outlets and supermarket items. This dataset provides annotated pictures of food plates along with calories , macronutrients (fat, carbohydrate, protein) for the total plate and for Mar 31, 2023 · To the best of our knowledge, this is the first work on the creation of a Central Asian Food Dataset (CAFD). The dataset is designed for learning to address label noise with minimum human supervision. Food 2K is a large food recognition dataset with 2,000 categories and over 1 million images. Tags: food, vitamins, minerals, health, nutrition. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. I'm very much into good food and home cooking, so something along those lines was appetizing. It contains data for various types of food including the amounts of different vitamins and minerals found in the foods as well as macronutrient percentages. Each class contains 1000 images. We believe that the release of VireoFood-172 can stimulate While numerous food classification datasets exist, ranging from the classic Food-101 dataset [4] to the latest Food2K dataset [51], datasets for portion estimation or macro-nutrient estimation are significantly fewer. Our Progressive Region Enhancement Network (PRENet) mainly consists of progressive local feature learning and region feature enhancement. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. (this https URL) Crawled data from Food. USDA Nutrient Data Set for Retail Meat Cuts: Beef, Lamb, Pork and Veal is the new name for the federal Food Stamp Program. Overview: Food waste detection dataset. A decent accuracy of 77. The number of food images is 2978. Images are annotated with 104 ingredient classes and each image has an average of 6 ingredient labels and pixel-wise masks. calories. A list of food-related datasets provided as a Simple Data Format Data Package, compiled at a School of Data workshop in preparation for the Open Food Hackdays. The final dataset contains 42 food categories and over 16,000 images of national dishes unique to this region. We are releasing this dataset alongside our recent CVPR 2021 paper to help promote research in visual nutrition understanding. Please see the paper for more details on the dataset and follow-up experiments. See full list on github. The Dataset Nutrition Label enhances context, contents, and legibility of datasets. Dataset on Kaggle . Most of the existing food image datasets collected food images either from recipe pictures or selfie. Current Population Survey (CPS) Furthermore, a dataset containing food-related question and answer pairs will be released to the challenge participants to evaluate their work. Here are the key details: Contains a total of 101,000 images. Figure 1: Three example images from the Food-101 Dataset 3 Dataset and Features In this project, we will be utilizing the Food-101 dataset originally used in Bossard et al. in Computer vision-based food calorie estimation: dataset, method, and experiment The ECUST Food Dataset is a food recognition dataset that contains 2978 images food deep-learning tensorflow dataset food-classification object-detection transfer-learning food-dataset boundary-detection Updated Jan 4, 2023 JavaScript Highly efficient data compression and decompression, making it good for storing and sharing big datasets of any kind, Supports complex data types and advanced nested data structures. 0, and LC-QuAD v2. Nutrition amounts in 515 fast food items. . You should definitely consider viewing it if you are interested. A data frame with 515 observations on the following 17 variables. It is a subset of the full Food101 dataset available on Hugging Face, a platform for artificial intelligence and open science. Given that it might help someone else, we decided to list all helpful datasets in one place. Learn Nutritional Data of 250+ Indian Dishes | Calories, Protein, Carbs & More This dataset is an extremely challenging set of over 5000+ original India food images captured and crowdsourced from over 800+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at ****DC Labs. - nileshely/Indian-Food Dec 27, 2021 · Nutrition values for foods The data. Nutritional information for raw fruits, vegetables, and seafood. Total fat. Government's Open Data. Label Overview. It is a great website and hosts a ton of useful content. Learn more This dataset provides the latest information up to March 2022, making it a definitive resource for food enthusiasts, researchers, or anyone curious about India’s culinary diversity. It is an essential resource for dieticians, nutritionists, and health enthusiasts aiming to analyze dietary patterns and make informed decisions. This is a benchmark dataset used for finding best models for detecting food. Nutrient-rich foods with detailed data on nutrition, servings, and origins. Our dataset has 19 types of food as shown in the figure . Drawing from the analogy of the Nutrition Facts Label on food, the Label highlights the ‘ingredients’ of a dataset to help shed light on whether the dataset is healthy for a particular statistical use case. The data made available View the About Us page for essential information about FoodData Central data types and how to use this system. For each class, 250 manually reviewed test images are provided as well as 750 training images. item. It significantly contributes to the development of CV algorithms due to its frequent presence in datasets across various applications, ranging from classification and instance segmentation to 3D reconstruction. Trans fat Food524DB is the largest publicly available food dataset with 524 food classes and 247,636 images by merging food classes from existing datasets in the state of the art. On purpose, the training images were not cleaned, and thus still contain some amount of noise. Sona, M. ECUSTFD is a free public food image dataset. Item 2 - estimated calories Nutrition in fast food Description. Overview. 100 Healthiest Foods:Nutrition and Origin dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. For more information, please see: P. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. This dataset will be bootstrapped from question-answer pairs pertaining to food related information from the RecipeQA, Grocery and Gourmet Food, QALD-9, LC-QuAD v1. Word2Vec fine-tuned on this dataset (ingredient2vec) to find similar ingredients (ingredients which have high cosine similarity) which could be used to recommend substitute ingredients - an additional check from the dataset if it is vegan would make it a vegan substitute recommendation (e. Saturated fat. The Global Dietary Database (GDD) is an ongoing collaborative effort to produce the most reliable estimates of dietary intake worldwide and inform global health and nutrition research and policy, particularly in poor and vulnerable populations. We This is the official PyTorch implementation of our paper: FoodSAM: Any Food Segmentation. Here is what we have created so far: The Nutrition Facts Search Tool Jan 8, 2025 · The data set includes information on age, race, sex, household size, income, geographic region, and Food Stamp Program participation. FoodData Central is managed by the Agricultural Research Service's Beltsville Human Nutrition Research Center and hosted by the National Agricultural Library. ) This dataset contains 121 unique food products and around 21K food images grouped in 10 main categories (bread, eggs, fried food, meat, noodle/pasta, rice, seafood, soup, dumplings, and vegetables), similar to the Food-11 dataset. orwbou euaj sfxj jlqvrwg mgldd qlelb ektmwszl thjdy zzztgq memnho