scooter_images Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Scooter Parking Management: This model can be used by municipalities and scooter rental companies to ensure scooters are properly parked in designated spots, improving the efficiency of urban scooter share services.
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Anti-theft Applications: Companies that own scooter sharing services can leverage this model to detect if a scooter is locked properly to prevent theft or misuse.
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Infrastructure Planning: Urban planners can use this model to analyze scooter usage and the need for the creation of additional dedicated scooter parking or rack installation locations.
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Accessibility Services: It can be used to ensure that scooters are not obstructing paths, sidewalks or accessibility areas by identifying incorrectly parked scooters and alerting the concerned authorities.
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Traffic Management and scooter usage analysis: Traffic management authorities can use this data to analyze the popularity and usage of scooters in different areas of the city, which could contribute to better traffic management and planning.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
scooter_images_dataset,
title = { scooter_images Dataset },
type = { Open Source Dataset },
author = { chexml },
howpublished = { \url{ https://universe.roboflow.com/chexml/scooter_images } },
url = { https://universe.roboflow.com/chexml/scooter_images },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-12-03 },
}