Detected_in_parking_Yolov5 Computer Vision Project
Updated 3 years ago
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Description
Here are a few use cases for this project:
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Parking Lot Management: This model could be used in the management of parking lots. It could identify available parking spots or identify improperly parked cars, improving efficiency and usage of the space.
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Traffic Flow Control: It could be used to monitor and identify the types of vehicles entering and leaving a parking lot, providing data for traffic prediction and flow control within the area.
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Security Surveillance: It could be employed in security cameras around parking areas to identify unusual activities, suspect persons or vehicles, contributing to improved security and safety.
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Smart City Planning: Urban planning agencies could use the model to monitor car and human traffic in parking areas, supporting data-driven decision making in infrastructure development.
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Retail Store Analytics: Retail store owners could use it to track customer visit patterns based on the vehicles they drive, facilitating more informed decisions about store hours, promotions or staffing.
Use This Trained Model
Try it in your browser, or deploy 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{
detected_in_parking_yolov5_dataset,
title = { Detected_in_parking_Yolov5 Dataset },
type = { Open Source Dataset },
author = { Detected in parking },
howpublished = { \url{ https://universe.roboflow.com/detected-in-parking-rodti/detected_in_parking_yolov5 } },
url = { https://universe.roboflow.com/detected-in-parking-rodti/detected_in_parking_yolov5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2025-05-22 },
}