Credo Health

Food Recognition

Object Detection

Food Recognition Computer Vision Project

Images

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Explore Dataset

Here are a few use cases for this project:

  1. Smart Nutrition Tracker: Based on images of food items clicked or uploaded by users, the model can estimate the nutritional content and provide diet plans or advice.

  2. Automated Restaurant Ordering: The model can be used in a visual-based food ordering system where patrons can simply point their camera at food items on the menu to understand what the dish is, its ingredients etc.

  3. Recipe Recommendation System: The model can identify food classes and suggest relevant recipes to users wishing to recreate certain dishes at home.

  4. Food Quality Control: In the food and beverage industry, companies can integrate the model into their quality control process to ensure consistency of food products or dishes.

  5. Supermarket Self-checkout Systems: The computer vision model can be used at supermarket self-checkout lanes. Customers just need to place the food items in front of a camera, and the system will recognize and automatically ring up the items.

Cite This Project

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

@misc{
                            food-recognition-ow7id_dataset,
                            title = { Food Recognition  Dataset },
                            type = { Open Source Dataset },
                            author = { Credo Health },
                            howpublished = { \url{ https://universe.roboflow.com/credo-health/food-recognition-ow7id } },
                            url = { https://universe.roboflow.com/credo-health/food-recognition-ow7id },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-03-02 },
                            }
                        

Connect Your Model With Program Logic

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

Source

Credo Health

Last Updated

7 months ago

Project Type

Object Detection

Subject

Food

Classes

Adai Ajwain Water Apple Avial Baingan Bartha Bajra Roti Beetroot Roti Besan Chilla Besan Dosa Bhindi Sabzi Boiled Egg Boiled Peanut Chaat Bread Omelette Brinjal Curry Brown Rice Buttermilk Cabbage Bhurji Carrot Cucumber Salad Channa Dal Paratha Channa Sundal Chicken Bhurji Chicken Biriyani Chicken Curry Coconut Chutney Coriander Chutney Corn Chat Cucumber Raita Curd Curd Rice Dal Khichdi Dal Soup Dosa Egg Curry / Egg Kuzhambu Egg Roll Flaxseeds Fried Egg Green Chutney Green Gram Sundal Green Tea Guava Idiyappam Idli Jeera Rice Jowar Roti Keerai Soup Kovakai Poriyal Ladies Finger Poriyal Medhu Vada Methi Seed Water Milk Tea Mint Chutney Mixed Millet Dosa Mixed Nuts Mixed Veg Dosa Mooli Paratha Moong Dal Khichdi Mushroom Gravy Mutton Gravy Naan Neer Dosa Noodles Onion Raita Onion Rava Uttapam Onion Tomato Sambar Orange Palak Gravy Palak Paneer Paneer Bhurji Paneer Butter Masala Paneer Curry Paneer Cutlet Paneer Gravy Peanut Chutney Peanuts Pear Pesarattu Dosa Phulka Poha Tikki Pongal Prawn Fry Prawns Gravy Pumpkin Curry Pumpkin Seeds Ragi Semiya Ragi roti Rasam Rava Idli Rava Upma Rice Roti Samai Idli Sambar Sauteed Mushroom Soya Chunk Biryani Spinach And Mushroom Stir fry Spinach Moong Dal Curry Sprouts Steamed Fish With Herbs Tea Tomato Poha with Peas Tomato Rasam Turmeric Fish Curry Turmeric Milk Veg Fried Rice Veg Kurma Veg Pulao Vegetable Sandwich Walnut Yogurt

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License

CC BY 4.0