scooter_images Computer Vision Project
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.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
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 2024-04-16 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the scooter_images project in your project.
