Auto park Computer Vision Project

5A502

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. "Accessible Parking Navigation": By integrating the "Auto park" model into a mobile app or car navigation system, users can locate the nearest available parking spaces, including disabled spots. This might be especially useful for individuals with disabilities who need real-time information about accessible parking availability.

  2. "Parking Space Management": With the "Auto park" model, parking space managers can monitor the occupancy of all different types of parking spaces in their area, including the specialized ones like Disabled-spots. This aids in optimizing parking space usage and can be used for generating occupancy statistics.

  3. "Smart City Development": Governments and urban planners could use this model to improve transportation infrastructure by planning parking spaces based on actual demand observed by the model.

  4. "Real-Time Parking Violation Detection": Traffic police or parking enforcement officials can use the "Auto park" model for automated surveillance systems. It can help to detect parking violations, especially in case of misuse of disabled parking spots, resulting in more efficient enforcement of parking rules.

  5. "Automated Parking Systems": The "Auto park" model could be integrated into automated parking solutions for vehicles. This can provide direction for parking, ensuring that cars are parked in the right spot including suitable allocation for disabled drivers.

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            auto-park_dataset,
                            title = { Auto park Dataset },
                            type = { Open Source Dataset },
                            author = { 5A502 },
                            howpublished = { \url{ https://universe.roboflow.com/5a502/auto-park } },
                            url = { https://universe.roboflow.com/5a502/auto-park },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-12-26 },
                            }