Vehicle Detection Computer Vision Project
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Trained on over 24,000 images this model can detect 7 different vehicle types such as cars, buses or motorcycles.
The dataset varies broadly and includes images from traffic, satellite images, dash cams and tv shows, making the model a great starting point for many vehicle detection use cases.
We recommend using this model as a training checkpoint on your own data for optimal results in your specific application. Fine-tuning this model with your dataset can help enhance its accuracy and performance for unique vehicle detection challenges in domains like traffic management, security, or fleet monitoring.
This model is an excellent starting point for detecting vehicles across diverse scenarios, offering flexibility and strong performance across various real-world conditions.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehicle-detection-wvcx6_dataset,
title = { Vehicle Detection Dataset },
type = { Open Source Dataset },
author = { Lennys Workspace },
howpublished = { \url{ https://universe.roboflow.com/lennys-workspace-gabu9/vehicle-detection-wvcx6 } },
url = { https://universe.roboflow.com/lennys-workspace-gabu9/vehicle-detection-wvcx6 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-21 },
}