Adi Krena

Glico V3

Object Detection

Glico V3 Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Grocery Store Inventory Management: The model can be used in grocery stores or supermarkets to monitor their inventory levels of different varieties of Pocky. By recognizing which variant of Pocky is on the shelf, the model could provide data for automatic restocking and inventory management systems.

  2. Online Retail Services: E-commerce platforms selling snacks can utilize the model to classify and catalogue their inventory based on product images. This can make the search and listing process more efficient and accurate.

  3. Consumer Behavior Study: Market research companies can use this model to study consumer behavior in stores or at home by recognizing which variant of Pocky is more popular, frequently bought, or left untouched in a group of Pocky snacks.

  4. Quality Control: Manufacturers of Pocky can use this model in their production lines to identify and segregate Pocky snacks as per their types for quality control checks and accurate packaging.

  5. Interactive Retail Experiences: The model can be incorporated in AR-based applications. When customers scan a Pocky product using their smartphone, the application identifies the type of Pocky and provides product information, nutritional facts, and even suggests pairing drinks or recipes.

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{ glico-v3_dataset,
    title = { Glico V3 Dataset },
    type = { Open Source Dataset },
    author = { Adi Krena },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jun },
    note = { visited on 2023-11-28 },

Find utilities and guides to help you start using the Glico V3 project in your project.


Adi Krena

Last Updated

6 months ago

Project Type

Object Detection




Pejoy Chocolate 37g, Pejoy Cookies - Cream 37g, Pocky Almond 36g, Pocky Choco Banana 42g, Pocky Chocolate 47g, Pocky Coconut - Brown Sugar 37g, Pocky Cookies - Cream 40g, Pocky Double Choco 47g, Pocky Matcha Green Tea 33g, Pocky Strawberry 45g, Pocky Yuzu 33g, Pretz Ayam BBQ 31g, Pretz Original 31g, Pretz Pizza 31g

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CC BY 4.0