NutritionVerse

MealSynth

Instance Segmentation

MealSynth Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Diet App: Utilize MealSynth to analyze food images for meal planning, portion control, and dietary restriction applications. Users could simply take photos of their meals, and the app could provide nutritional information based on the identified ingredients.

  2. Grocery Shopping: Implement the model in a mobile app that suggests needed ingredients for certain meals. Users can input a picture of their desired meal and the app gives them a list of ingredients to buy at the grocery store.

  3. Cooking Tutorials: Create an interactive cooking tutorial application that uses MealSynth to guess the ingredients in photos of different steps of cooking meals. Users could compare their work-in-progress to the reference picture and even get real-time advice.

  4. Restaurants and Cafes: Use the model to develop a digital interactive menu in restaurants. When customers take a photo of the displayed food image, the model identifies the ingredients and explains them to the customers. It could also provide suggestions for similar dishes based on the identified ingredients.

  5. Health and Fitness Apps: Integrate the model into fitness apps aimed at tracking the user's calorie and/or ingredient intake. With a food photo, the model could provide a fairly accurate estimate of consumed calories and nutrients.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            mealsynth_dataset,
                            title = { MealSynth Dataset },
                            type = { Open Source Dataset },
                            author = { NutritionVerse },
                            howpublished = { \url{ https://universe.roboflow.com/nutritionverse/mealsynth } },
                            url = { https://universe.roboflow.com/nutritionverse/mealsynth },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-02-26 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the MealSynth project in your project.

Last Updated

8 months ago

Project Type

Instance Segmentation

Subject

food-ingredients

Classes

asian-pear captain-crunch-granola-bar carrot chicken-breast chicken-leg chicken-sandwich chicken-wing chocolate-granola-bar corn costco-california-sushi-roll costco-cucumber-sushi-roll costco-egg costco-salad-sushi-roll costco-shrimp-sushi-roll costco-tuna-rice-ball crispy-pork-rib cucumber-piece french-fry half-bread-loaf half-minced-shrimp half-shrimp-salad-roll hamburger kebab lamb-shank lasagna lobster meatball meatloaf nature-valley-granola-bar plain-toast pork-feet red-apple red-yellow-apple rib salad-beef-strip salad-chicken-strip shrimp shrimp-salad-roll stack-of-tofu-4pc steak steak-piece toast toast-with-strawberry-jam tuna-rice-ball whole-chicken

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License

CC BY 4.0