Indian cuisine dataset. This card has been generated using this raw template.
Indian cuisine dataset The close resemblance often masks these unique flavors and details. It offers insights into the structure and qualities of its cuisine. Sep 7, 2025 · As global interest in diverse culinary experiences grows, food image models are essential for improving food-related applications by enabling accurate food recognition, recipe suggestions, dietary tracking, and automated meal planning. , 1 = Low, 5 = High). The dataset following fields (self-explanatory) - ['RecipeName', 'TranslatedRecipeName', 'Ingredients', 'TranslatedIngredients', 'Prep', 'Cook', 'Total', 'Servings', 'Cuisine', 'Course', 'Diet', 'Instructions', 'TranslatedInstructions']. Using the data provided, a deep learning model built on TensorFlow is trained to classify into various classes in dataset. The dataset has following fields (self-explanatory) - ['RecipeName', 'TranslatedRecipeName', 'Ingredients', 'TranslatedIngredients', 'Prep', 'Cook', 'Total', 'Servings', 'Cuisine', 'Course', 'Diet', 'Instructions', 'TranslatedInstructions']. Different spices, textures, and ways of cooking create several delicious varieties of food. The goal of this dataset is to solve challenges found in existing datasets: lack of representation of Indian food dishes, generalization over limited diversity due to Western-influenced classes, conditions, viewpoints and environments. The For this project, I selected a publicly available dataset titled “Indian Food Dataset” from Kaggle, which I have curated and uploaded to Google Sheets. So, I decided to create one. Sep 19, 2023 · Exploring and comprehending the culinary heritage of a nation holds a captivating allure. Contribute to anjanau/6k-recipes-data-analysis development by creating an account on GitHub. In this paper, we present the introduction of INDoRI (Indian Dataset of Recipes and Ingredients), a compilation drawn from seven distinct online . Has_Online_delivery: Indicates if the restaurant provides online delivery. Supported Tasks and Leaderboards [More Information Needed] Languages English Dataset Structure Nov 1, 2020 · When I browsed for a Food Recipes (Especially Indian Food) Dataset, I could not find one (that I could use) online. The need for detailed categorization in a When I browsed for a Food Recipes (Especially Indian Food) Dataset, I could not find one (that I could use) online. The dataset is designed to support computer vision tasks such as image classification, object detection, and food recognition. Price_range: Categorizes the price level of the restaurant, likely on a scale (e. Is_delivering_now: Shows whether the restaurant is currently delivering food. Dive into the mesmerizing world of spices, textures, and culinary wonders. This dataset offers a comprehensive overview Sep 9, 2025 · Indian cuisine, in particular, is a kaleidoscope of flavors and textures. Data about 255 traditional and famous dishes in India About 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. Supported Tasks and Leaderboards [More Information Needed] Languages English Dataset Indian cuisine is known for its rich history, diverse culture, and an array of flavors. It is useful for health tracking, diet planning, machine learning models, and data analysis. About Dataset About: This dataset comprises a diverse collection of images of Indian food items, representing the rich and varied culinary traditions of India. In this paper, we What is Khana? Khana is a food classification dataset featuring the wide range of dishes from Indian cuisine. May 28, 2021 · CurryAI — a computer vision aided Indian food nutrition calculator would be able to estimate the nutritional content of an Indian dish by means of analysing an image of the dish. The endeavor becomes more accessible with the availability of a well-organized dataset. The dataset comprises over 1,000 rows and 6 columns, including both categorical variables such as Region and Category, and numerical variables like Preparation Time, Cooking Time, and Calories. This heterogeneity becomes a significant hurdle for image classification algorithms trained on broader datasets. Feb 21, 2024 · Exploring and comprehending the culinary heritage of a nation holds a captivating allure. Dataset Card for Indian Foods Dataset Dataset Summary This is a multi-category (multi-class classification) related Indian food dataset showcasing The-massive-Indian-Food-Dataset. Indian food dataset is a labelled data set with different food classes. Dataset Card for Indian Foods Dataset Dataset Description Dataset Summary This is a multi-category (multi-class classification) related Indian food dataset showcasing The-massive-Indian-Food-Dataset. The datset Analysis of the 6000+ Indian Food Recipes Dataset. Despite the abundance of food datasets, a noticeable gap remains in capturing the nuances of Indian cuisine due to its vast regional diversity, complex Mar 8, 2025 · This dataset contains nutritional values of various Indian dishes, including calories, protein, fats, carbohydrates, and micronutrients. g. This card has been generated using this raw template. Epoches: 200 Batch_size: 32 Images are split to train and test set with 4020 images belonging to 80 different classes. Switch_to_order_menu: Indicates if the restaurant has an option to switch to an order menu. Khana is a food classification dataset featuring the wide range of dishes from Indian cuisine. Each food class contains 1000s of images. Discover our extensive Indian Food Images Dataset, perfect for culinary projects, research, and enhancing food-related applications. ormjo oubkf xqz pgzzu gvrt uldv tytaye tgpvr zqqjp pzyo vyphji iqpqtot vhe cllean dbnyblo