Teknofest Computer Vision Project

Project1

Updated 2 years ago

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Classes (18)
araba
harckamyon
insan
kamyon
kamyonet
kepce
minibus
motosiklet
otobus
tir
traktor
tramvay
tren
uai
uap
vagon
y-uai
y-uap

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Description

Here are a few use cases for this project:

  1. Intelligent Traffic Monitoring Systems: The model can be applied to sophisticated traffic monitoring systems to distinguish between different classes of vehicles such as cars, trucks, minibus, tractor, etc., aiding in traffic flow management, congestion prediction and avoidance.

  2. Automated Toll Collection: The model can be applied in automated toll collection systems. It can identify vehicle types and automatically assign appropriate toll charges based on their class.

  3. Autonomous Vehicle Development: This model might be used in autonomous vehicle development to help the AI understand and categorize different types of vehicles on the road, enhancing decision-making and safe navigation processes.

  4. Security and Surveillance Applications: The model could be integrated into surveillance systems to identify and classify vehicles in secured areas, which can be helpful in mitigating risks or detecting illegal activities.

  5. Smart Parking Solutions: Teknofest can be used to develop a smart parking solution that can automatically recognize vehicle types upon entry, and allocate suitable parking spaces accordingly. It can also be beneficial in charging for parking based on the vehicle type.

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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{
                            teknofest-hw5wo_dataset,
                            title = { Teknofest Dataset },
                            type = { Open Source Dataset },
                            author = { Project1 },
                            howpublished = { \url{ https://universe.roboflow.com/project1-k6jyv/teknofest-hw5wo } },
                            url = { https://universe.roboflow.com/project1-k6jyv/teknofest-hw5wo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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