vehicles Object Detection Dataset and Pre-Trained Model by Josh Fox

Images

2164 images

Explore Dataset

Here are a few use cases for this project:

Traffic Management and Monitoring: The "vehicles" model could be used by traffic control agencies to monitor and analyze real-time traffic flow, identify patterns, and optimize traffic signals. This could help minimize traffic congestion and improve overall traffic efficiency.
Parking Management and Enforcement: The model could be used in smart parking systems to detect and classify vehicles entering and exiting parking facilities, enabling automated parking management and enforcement of any associated parking rules or regulations.
Intelligent Transportation Systems (ITS): The "vehicles" model could be integrated into ITS for applications such as incident detection, adaptive cruise control, or lane departure warnings.
Customized Advertising and Marketing: Digital signage systems could use the "vehicles" model to identify the types of vehicles passing by, allowing advertisers to display targeted advertisements based on the vehicle class and driver demographics.
Security and Surveillance: The computer vision model could be utilized in security and surveillance systems to detect and monitor vehicles entering and leaving sensitive premises or restricted areas, as well as identify suspicious activities or vehicles involved in criminal activities.

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{
                            vehicles-t7zkk_dataset,
                            title = { vehicles Dataset },
                            type = { Open Source Dataset },
                            author = { Josh Fox },
                            howpublished = { \url{ https://universe.roboflow.com/josh-fox-qepte/vehicles-t7zkk } },
                            url = { https://universe.roboflow.com/josh-fox-qepte/vehicles-t7zkk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-19 },
                            }