Name: Parking Spot Detection Dataset
License: https://creativecommons.org/publicdomain/zero/1.0/

Here are a few use cases for this project:

Smart Parking Management System: Deploy the "Parking Spot Detection" model in parking lots or garages to provide real-time updates on open parking spaces, closed parking spaces, and occupied spaces. This information can be integrated into a mobile app to help drivers find available parking spots quickly, reducing search time and fuel consumption.
Traffic Management and Urban Planning: The model can be used by city planners or urban developers to analyze parking space utilization in various areas of a city, identifying high-demand locations and potential bottlenecks. This data can help plan new parking facilities or redesign existing ones to optimize space and efficiency.
Enforcement of Parking Regulations: Utilize the "Parking Spot Detection" model in conjunction with surveillance cameras to monitor illegal parking and identify vehicles parked in undesignated or closed spaces. This data can then be used to issue fines or automate towing notifications, thereby improving compliance with parking regulations.
Assisting Disabled and Elderly Drivers: Integrate the model into a vehicle's navigation system to help disabled or elderly drivers find open parking spaces that are closer to their desired destination, making it more convenient for them to park and access facilities.
Retail or Event Venue Optimization: Use the "Parking Spot Detection" model to analyze parking space availability at shopping malls, event venues, or other facilities with high parking demands. This information can help facility managers optimize the parking layout, plan for peak hours, or even offer real-time parking promotions to increase customer satisfaction and encourage business.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            parking-spot-detection-ckkr2_dataset,
                            title = { Parking Spot Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Parking Spot Detection },
                            howpublished = { \url{ https://universe.roboflow.com/parking-spot-detection/parking-spot-detection-ckkr2 } },
                            url = { https://universe.roboflow.com/parking-spot-detection/parking-spot-detection-ckkr2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-04-30 },
                            }