Garbage Model Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Waste Management Systems - This model can be used to automate the sorting process in waste treatment facilities. By identifying the types of garbage, it can accurately sort organic, inorganic, and hazardous (B3) waste, improving efficiency and compliance with waste regulations.
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Smart Cities Initiatives - Cities can deploy this model in smart trash cans and recycling bins across different locations, assisting in proper waste disposal by identifying the type of waste being disposed and alerting city services when specific bins (organic, inorganic or hazardous) are full.
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Environmental Monitoring - The model can be used in drones or other surveillance systems to monitor the environment. It can identify and categorize types of litter in public areas, providing data for better urban cleanliness strategies.
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Education and Awareness App - The model could be integrated within an app to educate and raise awareness about correct waste segregation. Users could take snapshots of their trash and the app would identify and explain how to dispose of it correctly.
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Retail Industry - Supermarkets and food stores could use it to identify and categorize unsold food waste, aiding in more effective waste management and potentially contributing to initiatives aimed at reducing food waste.
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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-model-yklq5_dataset,
title = { Garbage Model Dataset },
type = { Open Source Dataset },
author = { yolo },
howpublished = { \url{ https://universe.roboflow.com/yolo-y9ms0/garbage-model-yklq5 } },
url = { https://universe.roboflow.com/yolo-y9ms0/garbage-model-yklq5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-11-28 },
}