uae car Computer Vision Project

label 9

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back_car
exp
front_car
new_DUBAI
new_RAK
new_abudabi
new_ajman
new_am
new_fujairah
old_DUBAI
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Description

Here are a few use cases for this project:

  1. Traffic Management: This model can be used in CCTV systems to recognize and record plates, car types, and the directions they are heading. It can also identify expired registration stickers, improving the efficiency of traffic enforcements.

  2. Security Surveillance: The UAE car model can aid in emergency and crime-related situations, such as tracking stolen vehicles, hit and run accidents, or identifying suspicious vehicles in specific areas.

  3. Parking Management Systems: This would enable automatic entry and exit by recognizing vehicle number plates, enhancing the efficiency of the parking process and ensuring only authorized vehicles are granted access.

  4. Vehicle Inventory Management: Car dealerships and rental agencies could leverage this model to automate their inventory tracking and management, leading to significant time and cost savings.

  5. Smart City Initiatives: This computer vision model can form part of an intelligent transport system, leading to safer and more efficient urban transportations. This includes tracking vehicles for congestion management, identifying vehicles overdue for registration, or those not adhering to emission standards.

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            uae-car-kkdq0_dataset,
                            title = { uae car Dataset },
                            type = { Open Source Dataset },
                            author = { label 9 },
                            howpublished = { \url{ https://universe.roboflow.com/label-9-fhfqj/uae-car-kkdq0 } },
                            url = { https://universe.roboflow.com/label-9-fhfqj/uae-car-kkdq0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-18 },
                            }
                        
                    

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