everything_combined Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Smart Inventory Management: This model can be implemented in warehouses or stores to automatically detect and classify each product for efficient inventory management, reducing the need for human intervention.
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Smart Home Application: The model can be integrated within smart homes to recognize numerous objects and improve the functionality of automated systems. For example, it can spot a forgotten refrigerator door, identify an object your robotic vacuum cleaner might need to avoid, or automatically classify objects for cleaning or storage.
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Surveillance and Monitoring: The model can be used in surveillance systems to identify an array of objects, helping to improve security by detecting unauthorized activities or objects, such as an unattended bag or the presence of a fire.
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Assisted Living for Disabled: This model could help visually impaired people by describing their surroundings, informing them of the presence of specific objects (such as obstacles or everyday items), or distinguishing between items based on their object class.
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Platform Game Development: A fun use of this model would be in the development of games where players have to correctly identify numerous types of items, testing their speed and accuracy in recognizing diverse classes of objects.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
everything_combined_dataset,
title = { everything_combined Dataset },
type = { Open Source Dataset },
author = { Coin Archer },
howpublished = { \url{ https://universe.roboflow.com/coin-archer/everything_combined } },
url = { https://universe.roboflow.com/coin-archer/everything_combined },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-12-21 },
}