Floor-Shelf-Lower-Edge Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Retail Inventory Management: The "Floor-Shelf-Lower-Edge" model can be used by retailers to identify overstuffed or empty shelves for efficient restocking, thus effectively managing inventory. The model can help detect floor space for additional stock placement or new product launches.
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Space Optimization: Business owners and store managers can leverage this model to maximize space utilization in their stores. By identifying shelves and floor spaces, they can arrange items in a manner that attracts customers and enhances the shopping experience.
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Safety Compliance Monitoring: The model can help monitor floor space in stores, factories, or warehouses to ensure they are free of any blockages or hazards, thus ensuring a safer environment.
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Accessibility Planning: In planning for public spaces or stores, this model can evaluate floor and shelf spaces to ensure they are accessible for everyone, including individuals with disabilities.
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Robotic Navigation: In automated warehouses, robots can use this model to understand where shelves end and the floor begins, allowing more efficient navigation and object placement or retrieval.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
floor-shelf-lower-edge_dataset,
title = { Floor-Shelf-Lower-Edge Dataset },
type = { Open Source Dataset },
author = { Tina Liu },
howpublished = { \url{ https://universe.roboflow.com/tina-liu-suczt/floor-shelf-lower-edge } },
url = { https://universe.roboflow.com/tina-liu-suczt/floor-shelf-lower-edge },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-22 },
}