batch_28 Computer Vision Project

Adam Ismaili

Updated 3 years ago

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Classes (13)
Spot-1
Spot-2
Spot-3
Spot-4
firehydrant
invalidspot-Firehydrant
invalidspot-entrance
invalidspot-greenCurb
invalidspot-redCurb
invalidspot-whiteCurb
invalidspot-yellowCurb
parking-spots
reservedSpot-handicapped
Description

Here are a few use cases for this project:

  1. Smart Parking Management System: Implement "batch_28" to monitor public and private parking lots, identifying available spots and distinguishing between invalid spots and reserved spots, allowing drivers to find appropriate parking more efficiently.

  2. Traffic Regulation Enforcement: Use the model to assist traffic enforcement officers in identifying and ticketing cars parked in invalid spots, such as red or yellow curbs, near fire hydrants, or unauthorized use of reserved spots for handicapped parking.

  3. Urban Planning and City Infrastructure Analysis: Analyze and evaluate parking space availability and utilization in a specific area or city to inform decisions on developing or expanding parking facilities.

  4. Navigation and Mapping Applications: Integrate the model into navigation systems or map apps, allowing users to be directed to valid parking spots based on real-time data, reducing search time and improving overall user experience.

  5. Accessible Parking Monitoring: Utilize the model to ensure that reserved handicapped spots are not occupied by unauthorized vehicles, maintaining a fair parking environment while promoting awareness and compliance with accessibility regulations.

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_28_dataset,
                            title = { batch_28 Dataset },
                            type = { Open Source Dataset },
                            author = { Adam Ismaili },
                            howpublished = { \url{ https://universe.roboflow.com/adam-ismaili/batch_28 } },
                            url = { https://universe.roboflow.com/adam-ismaili/batch_28 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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