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Smart city pedestrian/bike detection Computer Vision Project
Use case
Urban Mobility Study: The model can be used by city planners or researchers to assess the mobility patterns in different parts of the city. Based on the data, they can improve the infrastructure for cyclists, pedestrians, and e-scooter riders, enhancing urban mobility.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
smart-city-pedestrian-bike-detection_dataset,
title = { Smart city pedestrian/bike detection Dataset },
type = { Open Source Dataset },
author = { Simone Bernabe },
howpublished = { \url{ https://universe.roboflow.com/simone-bernabe/smart-city-pedestrian-bike-detection } },
url = { https://universe.roboflow.com/simone-bernabe/smart-city-pedestrian-bike-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-04-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Smart city pedestrian/bike detection project in your project.
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