arun-set2 Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Retail Automation: This model could be used to automate the process of inventory management in a retail store. It can identify different types of bags on the shelf, track their number, and alert the staff when restocking is needed.
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E-Commerce Product Categorization: This model could help categorize products correctly on e-commerce platforms. It can identify whether the item is a trolley, bag, or basket and label it appropriately, making it easier for customers to find what they are looking for.
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Airport Security Management: The model can streamline baggage scanning operations at airports. By identifying trolleys, bags, or baskets, it assists security personnel in quickly categorising luggage and optimising the screening process.
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Self-checkout Systems: In grocery stores or supermarkets, the model could be integrated into self-checkout systems. When a customer places an item on the counter, the system automatically recognizes if it's a trolley, bag, or basket, improving checkout efficiency.
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Recycling/Waste Management: The model can be used in waste sorting facilities to identify and categorize waste items into trolleys, bags, or baskets. This identification could help in their subsequent recycling or disposal process.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
arun-set2_dataset,
title = { arun-set2 Dataset },
type = { Open Source Dataset },
author = { new-workspace-l2a1a },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-l2a1a/arun-set2 } },
url = { https://universe.roboflow.com/new-workspace-l2a1a/arun-set2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-12-22 },
}