Jerrad Flores


Object Detection

Tutorial Computer Vision Project


166 images
Explore Dataset

Here are a few use cases for this project:

  1. Inventory Management: The "Tutorial" computer vision model can be employed in retail stores and supermarkets for real-time inventory tracking and management. It will be able to recognize different food products on the shelves and their brands, helping retailers maintain optimal stock levels and ensuring popular items are always in-stock.

  2. Smart Shopping Assistance: The model can be integrated into a shopping assistant app to allow users to easily locate specific products, such as lactose-free milk or organic vegetables, by simply pointing their smartphone camera at the aisle. This would improve customers' shopping experiences and help them make more informed purchasing decisions.

  3. Nutritional Information and Dietary Preferences: The "Tutorial" computer vision model can be used within a dietary app that provides users with nutritional information about the identified products. By integrating it with the user's dietary preferences, such as vegetarian, lactose-free, or organic, the app can make personalized product recommendations.

  4. Automated Checkout Systems: The "Tutorial" model can be used in automated checkout systems for the seamless identification and billing of items at self-checkout counters. By recognizing and categorizing different food items and their brands, the model would facilitate faster and more accurate transactions, improving the overall shopping experience.

  5. Product Advertising and Targeted Marketing: The "Tutorial" model can be utilized to analyze and collect consumer preferences data based on the specific products and brands they frequently purchase. This information can then be used to develop targeted marketing campaigns and personalized promotions for enhancing customer engagement and increasing sales.

Cite This Project

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

                            title = { Tutorial Dataset },
                            type = { Open Source Dataset },
                            author = { Jerrad Flores },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-03-01 },

Connect Your Model With Program Logic

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


Jerrad Flores

Last Updated

2 years ago

Project Type

Object Detection




Bell Pepper Bread Carrots Cheese Chocolate Milk Eggs Fairlife Chocolate Milk Fairlife Milk Horizon Chocolate Milk Horizon Milk Lactaid Chocolate Milk Lactaid Milk Meat Milk Natrel Chocolate Milk Natrel Milk Organic Valley Chocolate Milk Organic Valley Milk Sausages Vegetable

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CC BY 4.0