hong kong vehicle detection Object Detection Dataset and Pre-Trained Model by personal project

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Explore Dataset

Here are a few use cases for this project:

Urban Traffic Management: The "Hong Kong vehicle detection" model can be used in improving the city's traffic management system by identifying the ratio and type of vehicles on the road at any given time. This can aid in congestion prediction and reduction.
Public Transport Planning: By analyzing the frequency of taxis, mini buses, trams, and other public transport vehicles, authorities and transportation companies can optimize their service routes and schedules.
Smart Parking Solutions: This model can detect and monitor the types of vehicles in parking areas, aiding in the design of parking space allocation according to vehicle classes.
Surveillance and Security: The model can be integrated into surveillance systems, helping to identify and track suspicious activities involving vehicles in the city.
Autonomous Vehicle Training: The data derived from the model can be used in training autonomous vehicles to detect and recognize different types of vehicles, making self-driving technology safer for urban 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{
                            hong-kong-vehicle-detection_dataset,
                            title = { hong kong vehicle detection Dataset },
                            type = { Open Source Dataset },
                            author = { personal project },
                            howpublished = { \url{ https://universe.roboflow.com/personal-project-bxxef/hong-kong-vehicle-detection } },
                            url = { https://universe.roboflow.com/personal-project-bxxef/hong-kong-vehicle-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-07 },
                            }