Parking Violations Instance Segmentation Dataset and Pre-Trained Model by POPO

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Explore Dataset

Here are a few use cases for this project:

Parking Management Systems: This model could be integrated into smart parking management systems for public and private facilities. It can identify if cars are not parked correctly and alert security or management for action.
Smart City Initiatives: The model could be utilized in smart city initiatives to monitor on-street parking, track parking violations, and streamline the process of issuing tickets.
Traffic Enforcement: Law enforcement could use such a model to monitor parking areas, detect violations, and issue automated fines, reducing the need for manual patrolling.
Surveillance and Security: Use in CCTV surveillance systems of residential, commercial, or industrial areas to identify unauthorized or abnormal parking events and notify the concerned authorities.
Driver Assistance Systems: It can be integrated into advanced driver-assistance systems (ADAS) to provide alerts to drivers if they're parking incorrectly or in a prohibited area.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions 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{ parking-violations-lxf0d_dataset,
    title = { Parking Violations Dataset },
    type = { Open Source Dataset },
    author = { POPO },
    howpublished = { \url{ https://universe.roboflow.com/popo-rinbd/parking-violations-lxf0d } },
    url = { https://universe.roboflow.com/popo-rinbd/parking-violations-lxf0d },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jul },
    note = { visited on 2023-12-09 },
}