Name: Vechile detection Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

4583 images

Explore Dataset

Here are a few use cases for this project:

Traffic Surveillance: This model can be utilized in traffic surveillance systems to monitor different types of vehicles on the road. This could aid in traffic congestion management by identifying traffic build-up due to specific types of vehicles.
Automated Parking Systems: The model can help in managing automated parking lots by identifying different vehicles and allocating them suitable parking spots based on their type and size.
Autonomous Vehicles: For self-driving car systems, the model could provide critical vehicle detection capabilities, enabling the autonomous vehicle to identify other vehicles in its surroundings and navigate safely.
Vehicle Census: Government bodies or research organizations could apply this model to conduct a vehicle census on a city- or country-wide level. It can collect data on the population of different types of vehicles.
Public Transport Management: The model could be used in public transportation management systems to monitor the number and type of public transport vehicles, like buses and 'angkutans', on routes at any given time.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            vechile-detection_dataset,
                            title = { Vechile detection Dataset },
                            type = { Open Source Dataset },
                            author = { Irfan Maulana },
                            howpublished = { \url{ https://universe.roboflow.com/irfan-maulana/vechile-detection } },
                            url = { https://universe.roboflow.com/irfan-maulana/vechile-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-05-10 },
                            }