TACO dataset Computer Vision Project
Updated 3 months ago
Here are a few use cases for this project:
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Waste Management and Recycling: The TACO dataset could be useful in the creation of smart waste sorting systems. By identifying types of trash, it can help segregate recyclable items like plastic, paper, metal, cardboard, and glass, achieving more efficient recycling process.
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Marine Conservation Applications: With its capability to identify plastic or other trash floating in water, models developed with this dataset can be used to track and monitor pollution in marine environments to aid in clean-up efforts and protect marine life.
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Urban Cleanliness Monitoring: AI models trained on this dataset can be used in drones or CCTV cameras to detect litter in city streets, parks, or public spaces, giving real-time information to city services about where cleaning is needed.
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Educational Tools: The TACO dataset could be used to power educational games or apps that teach users about recycling and waste, improving their knowledge about waste sorting.
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Industrial Waste Audit: Businesses producing large amounts of waste could use models trained on this dataset to audit their waste production, help separate waste types, manage waste disposal, and meet regulatory requirements.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
taco-dataset-ql1ng-epoy0_dataset,
title = { TACO dataset Dataset },
type = { Open Source Dataset },
author = { trashdetectionmodel },
howpublished = { \url{ https://universe.roboflow.com/trashdetectionmodel/taco-dataset-ql1ng-epoy0 } },
url = { https://universe.roboflow.com/trashdetectionmodel/taco-dataset-ql1ng-epoy0 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-11-21 },
}