Vehicle Detection Object Detection Dataset and Pre-Trained Model by Power House

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Explore Dataset

Here are a few use cases for this project:

Autonomous Driving: The "Vehicle Detection" model can be utilized in the development of autonomous driving systems, where it can identify various objects in real time, contributing to safer navigation and improved decision-making capabilities.
Security Surveillance: This model can be used in CCTV footage analysis to detect suspicious activities. It can recognize cars, people, pets, and various other elements, contributing to a thorough understanding of what is happening in the monitored area at any given time.
Smart City Development: This model can be implemented in city planning to analyze and understand the flow of traffic, human footfall, and pet movements across various parts of the city.
Traffic Management: "Vehicle Detection" can be deployed in traffic management systems to detect and differentiate between different classes of vehicles, monitor traffic signals and sign boards, and regulate vehicular flow based on real-time data.
Augmented Reality (AR) Applications: This model can be applied to AR games and apps, allowing users to interact with simulated elements (like cars, dogs, and people) in real-world environments.

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{
                            vehicle-detection-7nnx0_dataset,
                            title = { Vehicle Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Power House },
                            howpublished = { \url{ https://universe.roboflow.com/power-house/vehicle-detection-7nnx0 } },
                            url = { https://universe.roboflow.com/power-house/vehicle-detection-7nnx0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-29 },
                            }