parking-place-detection-v3 Computer Vision Project

sorbonne universit

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Smart Parking System: This model can be used in a smart city or town planning, specifically to identify available parking slots in real time. The system can guide drivers to available parking spots, reducing cruising time and congestion.

  2. Traffic and Parking Management: Traffic authorities can use this model to monitor the usage of parking spaces and manage parking regulations effectively. They can identify vehicles that are violating parking rules (such as parking in a no-parking zone) or identify patterns to better plan for parking requirements.

  3. Mall Parking System: Shopping malls can use this system to manage their parking lots more effectively. This would benefit shoppers by guiding them to the nearest available slot, and management by analyzing parking patterns and usage.

  4. Airport and Station Parking Management: Airports and railway stations can incorporate this model to monitor their parking facilities. It would help them maximize usage, minimize congestion, and provide a better experience for travelers.

  5. Parking Surveillance and Security: Secure parking facilities could use this model to identify unauthorized vehicles parked in the facility. It could also alert security if a vehicle is occupying more than the allowed space or is parked in an unauthorized spot.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            parking-place-detection-v3_dataset,
                            title = { parking-place-detection-v3 Dataset },
                            type = { Open Source Dataset },
                            author = { sorbonne universit },
                            howpublished = { \url{ https://universe.roboflow.com/sorbonne-universit-mfet5/parking-place-detection-v3 } },
                            url = { https://universe.roboflow.com/sorbonne-universit-mfet5/parking-place-detection-v3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-09-21 },
                            }