Food Ingredients Image Detection_Team4 Computer Vision Project
Here are a few use cases for this project:
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Meal Preparation: Users can leverages the "Food Ingredients Image Detection_Team4" model to facilitate their meal preparations, helping them identify specific ingredients on their kitchen counters or in their pantry. This can even be employed in cooking apps or chef assistants to verify if a user has the correct ingredients needed for a certain recipe.
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Grocery Shopping: As part of a grocery shopping app, the AI model can help shoppers identify different ingredients in the store. In addition, it can assist users in finding replacements for items that aren't available or suggest alternatives based on dietary restrictions.
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Dietary Tracking: Nutrition apps can use this model to help users identify and track the ingredients they're consuming. By scanning food items or meals, users can acquire a detailed understanding of their dietary habits, which can support weight loss goals or managing dietary restrictions.
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School Cafeteria: Schools can implement this model to help in their cafeterias, identifying specific ingredients in meals to accommodate students with food allergies or dietary preferences.
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Food Waste Management: By identifying perishable items like fruits and vegetables, this model can support food waste reduction strategies at home or in food-related businesses. It would alert users to consume items that are nearing their expiration date.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite this Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ food-ingredients-image-detection_team4_dataset,
title = { Food Ingredients Image Detection_Team4 Dataset },
type = { Open Source Dataset },
author = { DSStudy },
howpublished = { \url{ https://universe.roboflow.com/dsstudy-h0rzy/food-ingredients-image-detection_team4 } },
url = { https://universe.roboflow.com/dsstudy-h0rzy/food-ingredients-image-detection_team4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2023-12-07 },
}Find utilities and guides to help you start using the Food Ingredients Image Detection_Team4 project in your project.
Source
Last Updated
4 months ago
Project Type
Object Detection
Subject
ingredients
Classes
', 10_pineapple, 10_tangerine, Apple, Bagel, Banana, Bitter melon, Cucumber, Garlic, Green Chili, Lady finger, Mushroom, Onion, Orange, Potato, Sponge Gourd, Tomato, ampalaya, apple, asparagus, avocado, bacon, banana, beef, bell pepper, bell_pepper, bento, bitter gourd, blueberries, bok choy, bottle, bread, broccoli, butter, cabbage, can, canned_tuna, carrot, cashew, cauliflower, cheese, cherry, chicken, chicken breast, chicken thigh, chicken wing, chicken_breast, chilli, chocolate, corn, crab, cream-cheese, cucumber, dates, egg, egg_, eggplant, eggs, fish, fish_cake, flour, french_fries, garlic, ginger, goat_cheese, grapefruit, grapes, grated_cheese, green chilli, green-chillies, green_beans, green_onion, ground_beef, guacamole, ham, hash_brown, heavy_cream, humus, juice, ketchup, kimchi, kiwi, leek, lemon, lettuce, lime, lobster tails, mango, marmelade, mayonaise, mayonnaise, milk, mint, mozzarella cheese, mushrooms, mustard, nacho_chips, nuts, olives, onion, orange, oysters, pak_choi, parmasan_cheese, parsley, pasta, pawpaw, peach, peanuts, pear, peas, pepper, pickles, pimento, pineapple, plantains, plasticsaveholder, pomegrante, pork, pork belly, pot, potato, potatoes, pudding, pumpkin, radish, red chili, red_cabbage, red_grapes, red_onion, rice, rice_ball, rice_cake, salad, salami, salmon, sandwich, sausage, sayote, sea scallops, seaweed, seseme, shrimp, smoothie, spinach, spring_onion, strawberries, strawberry, sugar, sweet potato, sweet_potato, tangerine, tempeh, tofu, tomato, tomato_sauce, tortillas, tuna, turkey, watermelon, white rice, yogurt, zucchini, 고등어, 떡볶이떡, 소고기
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