Irfan Maulana

Deteksi Kendaraan

Object Detection


Deteksi Kendaraan Computer Vision Project


5014 images
Explore Dataset

Here are a few use cases for this project:

  1. Traffic Management and Analysis: The "Deteksi Kendaraan" model can be used in smart city infrastructure to monitor and analyze traffic patterns, enhancing road safety and efficiency. It can help identify peak hours, most used vehicle types, and detect any unusual road incidents.

  2. Intelligent Parking Systems: The model can help in developing systems that can identify vehicle types, facilitating automated parking suggestions based on the vehicle type, efficient utilization of parking spaces or automatic payment methods.

  3. Surveillance and Security: For security purposes, this model can be instrumental in identifying and tracking specific vehicle types or detecting suspicious vehicles in monitored areas.

  4. Autonomous Vehicles: In autonomous driving systems, recognizing different types of vehicles around is quintessential for navigation, risk assessment, and decision-making.

  5. Logistics and Supply Chain Management: In ports or large warehouses, the model can be used to identify and manage different types of vehicles for loading and unloading goods, ensuring efficient and smooth operations.

Cite this Project

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

@misc{ deteksi-kendaraan_dataset,
    title = { Deteksi Kendaraan Dataset },
    type = { Open Source Dataset },
    author = { Irfan Maulana },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jun },
    note = { visited on 2023-11-30 },

Find utilities and guides to help you start using the Deteksi Kendaraan project in your project.


Irfan Maulana

Last Updated

a year ago

Project Type

Object Detection




Angkot, Becak, Bus Besar, Bus Sedang, Gerobag, Gerobak, Mobil, Motor, Pick Up, Plat, Sepeda, Truk Besar, Truk Sedang

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CC BY 4.0