Parking Object Detection Dataset and Pre-Trained Model by Chokri Nada

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Explore Dataset

Here are a few use cases for this project:

Smart City Infrastructure: The "Parking" computer vision model could be integrated into a city's traffic management system to monitor and provide real-time data on available parking spots in public areas, reducing congestion and improving parking efficiency.
Mobile Applications: App developers could incorporate this model into navigation or GPS apps, providing users with current information about parking occupancy in their desired locations.
Retail Industry: Shopping malls and supermarkets could use the model to manage their parking spaces better, giving customers the convenience of knowing where the available spots are, enhancing overall customer experience.
University Campuses & Large Organizations: The model could be used on university campuses or large company car parks to optimize the available parking spaces and guide drivers to open spots, reducing search time.
Integrated Security Systems: In residential or business complexes, the model could be paired with automated gate systems to monitor and control parking occupancy, enhancing security and accessibility.

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-fpxnb_dataset,
                            title = { Parking Dataset },
                            type = { Open Source Dataset },
                            author = { Chokri Nada },
                            howpublished = { \url{ https://universe.roboflow.com/chokri-nada/parking-fpxnb } },
                            url = { https://universe.roboflow.com/chokri-nada/parking-fpxnb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }