Garbage Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Recycling Management: The "Garbage" model can be used to identify items in waste sorting facilities, separating out coins, plastic bottles, and other plastic or bag items. This automated sorting can lead to improved recycling rates, and reduced environmental impact.
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Monetary Recovery: Lost or misplaced coins in places such as landfills, garbage disposal sites can be identified using this model, enabling organizations to recover an otherwise lost asset.
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Environmental Research: This model can be used in environmental cleanup projects, where it can help identify and sort plastic waste, making the clean-up process faster and more efficient.
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Retail Industry: In a vending machine or self-checkout system scenario, the model can be used to correctly identify whether the dropped item is a coin, a plastic bottle product or others, reducing human error in recognizing products.
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Education: It can be used in educational settings for demonstrating and teaching about waste segregation, recycling process, and environmental awareness. Students can use the model to identify and classify these specific waste items in a fun, interactive way.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
garbage-wgqet_dataset,
title = { Garbage Dataset },
type = { Open Source Dataset },
author = { sheryar khan },
howpublished = { \url{ https://universe.roboflow.com/sheryar-khan/garbage-wgqet } },
url = { https://universe.roboflow.com/sheryar-khan/garbage-wgqet },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-11-21 },
}