batch_26 Computer Vision Project

Adam Ismaili

Updated 3 years ago

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Classes (10)
fireHydrant
invalidSpot-entrance
invalidSpot-fireHydrant
invalidSpot-redCurb
invalidSpot-whiteCurb
invalidSpot-yellowCurb
spot-1
spot-2
spot-3
spot-4
Description

Here are a few use cases for this project:

  1. Smart City Traffic Management: This model could be utilized to dynamically manage street-side parking, spotting available spots and invalid spots to prevent parking violations. This could also be used by traffic regulatory bodies to identify possibly illegally parked vehicles.

  2. Advanced Vehicle Parking Assistance: A system in vehicles that aids drivers in finding available parking spaces by using data from this model's image recognition of valid and invalid parking spots.

  3. Parking Garage Management: Implementation in automated parking garages for recognizing valid spots and preventing parking in invalid spots. It would allocate vehicles to available spots and efficiently manage the parking lots.

  4. Online Parking Space Finder: This could power an app that uses crowdsourced images to indicate where parking spots are available around the city, then maps out all the valid parking spots around a user.

  5. Law Enforcement: The model could be used by traffic police or relevant authorities to identify potentially illegal parking (i.e., at red/white/yellow curbs, fire hydrants or entrances. This can help them monitor traffic rules compliance in real-time.

Supervision

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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{
                            batch_26_dataset,
                            title = { batch_26 Dataset },
                            type = { Open Source Dataset },
                            author = { Adam Ismaili },
                            howpublished = { \url{ https://universe.roboflow.com/adam-ismaili/batch_26 } },
                            url = { https://universe.roboflow.com/adam-ismaili/batch_26 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-12-18 },
                            }