Littering Computer Vision Project
Updated 3 months ago
Metrics
Here are a few use cases for this project:
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Environmental Persistent Surveillance: Government authorities can use the model in public places with high CCTV coverage to identify and track instances of littering behavior in real-time. By recognizing the offending subjects, it can help curb environmental pollution and maintain cleanliness in the city.
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Trash Management Systems: Waste management companies and recycling facilities can use this model to classify different types and degrees of littering to improve operations. It can help in the identification and sorting of waste products for recycling or proper disposal.
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Civil Responsibility Campaigns: NGOs and environmental organizations can use it in their campaigns as a demonstration tool for teaching people about the different types of littering and their impacts on the environment. It can be used in educational programs to increase public awareness about littering.
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Ecology Research: In ecological research, this model could be used to study the effects of various forms of littering on local ecosystems. Being able to distinguish between different littering maneuvers like tossing or dumping could indicate different levels of impact on the environment.
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Law Enforcement: The model can assist enforcing agencies to identify incidents of illegal dumping in restricted areas. By recognizing these actions, authorities can ensure proper law enforcement and penalize defaulters.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
littering-whlsk-fc1uq_dataset,
title = { Littering Dataset },
type = { Open Source Dataset },
author = { swm },
howpublished = { \url{ https://universe.roboflow.com/swm-2yj5t/littering-whlsk-fc1uq } },
url = { https://universe.roboflow.com/swm-2yj5t/littering-whlsk-fc1uq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-12-20 },
}