teknofest-images Computer Vision Project

teknofest

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Classes (19)
araba
forklift
harckamyon
insan
kamyon
kamyonet
kepce
minibus
motosiklet
otobus
tir
traktor
tramvay
tren
uai
uap
vagon
y-uai
y-uap
Description

Here are a few use cases for this project:

  1. Traffic Analysis: This model can be used to recognize the types of vehicles on the road. The output can be used for traffic flow optimization, congestion management, and city planning.

  2. Security Surveillance: The model can aid in the automatic identification of vehicle types entering and exiting specific areas, useful for organizations like parking lots, factories, airports, and seaports for better security and tracking.

  3. Transportation Research: This model can assist researchers in gathering large-scale data on vehicle types and distribution, which can lead to insights about transportation trends and mobility patterns.

  4. Autonomous Vehicle Systems: The model can contribute to the development of autonomous driving systems by recognizing different vehicle types and human figures, improving the system’s understanding of its surrounding environment.

  5. Gaming and Simulation Environments: Game developers and simulation software creators can use this model to build more realistic environments by identifying and placing appropriate types of vehicles in certain scenarios.

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{
                            teknofest-images_dataset,
                            title = { teknofest-images Dataset },
                            type = { Open Source Dataset },
                            author = { teknofest },
                            howpublished = { \url{ https://universe.roboflow.com/teknofest-7usqi/teknofest-images } },
                            url = { https://universe.roboflow.com/teknofest-7usqi/teknofest-images },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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