Grocery Dataset

Object Detection

Grocery Dataset Computer Vision Project

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Here are a few use cases for this project:

  1. Smart Grocery Shopping Assistance: Use the Grocery Dataset to develop an app that scans grocery items in real-time and helps users create a virtual shopping cart, keep track of purchased items, and manage their grocery budget.

  2. Inventory Management System: The Grocery Dataset can be integrated with an inventory management system for retailer shops and supermarkets, allowing for seamless and efficient tracking of available stock, monitoring product demand, and automating reordering processes.

  3. Nutritional Information Analysis: Leverage the Grocery Dataset model to recognize products and, using an additional database, provide users with immediate access to nutritional information, ingredients, and allergens contained in the scanned products.

  4. Grocery Ad Identification and Pricing Comparison: The model can be utilized in shopping apps to identify and compare prices of grocery items advertised in various flyers or online platforms, helping users to find the best deals for their shopping needs.

  5. Smart Home Inventory Management: Integrate the Grocery Dataset with smart home devices to track the products users have at home, set expiration reminders, suggest new products they might like, and enable automated grocery ordering.

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{ grocery-dataset-q9fj2_dataset,
    title = { Grocery Dataset Dataset },
    type = { Open Source Dataset },
    author = { new-workspace-wfzw3 },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-11-29 },

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

Last Updated

a year ago

Project Type

Object Detection




Chocolatechip cookie, Coca Cola Can 250ml, Colgate 75g, Fanta 500ml, Fresher Guava Nectar 500ml, Fruita Vitals Red Grapes 200ml, Islamabad Tea 238g, Kolson Slanty Jalapeno 18g, LU Candi Biscuit Half Roll, LU Prince Biscuit Half Roll, Lays Masala, Lays Wavy Mexican Chili 34gm, Lifebuoy Soap, Lipton Yellow Label Tea, Meezan Ultra Rich Tea 190g, Oreo Biscuit Half Roll, Safeguard Soap Bar, Shezan Apple 250ml, Sooper Biscuit Ticky Pack, Sunsilk Shampoo 160ml, Super Crisp BBQ 30gm, Supreme Tea 95g, Tapal Danedar 95g, Vaseline Lotion 100ml, \, kurkure Chutney, ultra

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