logos-poc Computer Vision Project
Here are a few use cases for this project:
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Food Certification Validation: The computer vision model can be used by food companies and regulatory authorities to automatically validate product certifications such as VEG, FSSAI, ORGANIC, INDIA ORGANIC, NEW NON-VEG, and AGMARK, by scanning product packaging and logos.
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Recycling Management: Waste management organizations or recycling centers can utilize this model to effectively categorize waste according to their recycling information by identifying PLASTIC RECYCLE logos and segregating them accordingly.
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Retail Store Automation: In supermarkets and convenience stores, the model can assist in automating product categorization by identifying the logos of different food products being VEG or NON-VEG and classifying them accordingly.
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Consumer Apps: A mobile application can deploy this model to help users understand the nature of their purchased items – whether they're vegetarian, non-vegetarian, organic, or certified by FSSAI by simply scanning the item's packaging.
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Supply Chain Management: Businesses can use this model for better inventory management, ensuring goods are properly classified according to the logos they carry, helping businesses maintain accurate records and track products more efficiently.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
logos-poc_dataset,
title = { logos-poc Dataset },
type = { Open Source Dataset },
author = { LabelBlind },
howpublished = { \url{ https://universe.roboflow.com/labelblind/logos-poc } },
url = { https://universe.roboflow.com/labelblind/logos-poc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-05-02 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the logos-poc project in your project.