Teknofest Object Detection Dataset and Pre-Trained Model by Project1

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Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 2024-04-29 },
                            }