cars logo Computer Vision Project

yarab

Updated 2 years ago

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Classes (35)
Audi
Chrysler
Citroen
GMC
Honda Hyundai
Infiniti
Mazda Mercedes
Mercury
Mitsubishi
Nissan
Renault
Toyota Volkswagen
\
acura
bmw
cadillac
chevrolet
dodge
ford jeep
kia
lexus
lincoln
mini
no class
porsche
ram
range rover
skoda
subaru
suzuki
volvo

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Description

Here are a few use cases for this project:

  1. Automotive Industry Research: The model can be used to analyze traffic or parking lot data to gain insights into brand popularity, geographical distribution of various brands, and fluctuation of vehicle types over a period.

  2. Security and Surveillance: Surveillance systems can use this model to identify the make of vehicles involved in traffic violations or criminal activities, thereby assisting in investigations.

  3. Automotive Sales and Marketing: Car dealerships and marketers can use the model to understand brand preference of their potential customers by observing the cars people own in a specified region.

  4. Insurance Companies: Car insurance companies could utilize this model to identify and document information about a car’s make in the case of accidents, aid in real-time verification of vehicles to avoid insurance fraud.

  5. Augmented Reality Apps: Developers creating AR applications for automobile enthusiasts could use this model to automatically identify car brands and provide relevant information or trivia to users.

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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{
                            cars-logo-my5mz_dataset,
                            title = { cars logo Dataset },
                            type = { Open Source Dataset },
                            author = { yarab },
                            howpublished = { \url{ https://universe.roboflow.com/yarab/cars-logo-my5mz } },
                            url = { https://universe.roboflow.com/yarab/cars-logo-my5mz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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