ilham winar


Object Detection

Venom-7Class Computer Vision Project


4050 images
Explore Dataset

Here are a few use cases for this project:

  1. Traffic Management and Control: The "Venom-7Class" model can be implemented in intelligent traffic management systems. It can classify and calculate the number of each class of vehicles on roads to manage traffic congestion.

  2. Supply Chain and Logistics: Businesses could use this model to monitor and streamline their vehicle fleet operations. For instance, it would enable warehouse managers to properly track and handle the traffic of different types of trucks for loading and unloading goods.

  3. Surveillance and Security: In parking lots or on highways, the model can aid in identifying and tracking particular types of vehicles, contributing to improved security measures and regulations.

  4. Urban Planning: City planners could employ this computer vision model to better understand vehicular traffic patterns in city spaces. Information gathered can be used to shape traffic flow design, public transit systems, and future infrastructure investments.

  5. Driver Assistance Systems: The model can be integrated into advanced driver assistance systems (ADAS) to provide real-time alerts about different classes of vehicles approaching, aiding in collision prevention.

Cite this Project

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

@misc{ venom-7class_dataset,
    title = { Venom-7Class Dataset },
    type = { Open Source Dataset },
    author = { ilham winar },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jan },
    note = { visited on 2023-12-09 },

Find utilities and guides to help you start using the Venom-7Class project in your project.


ilham winar

Last Updated

2 years ago

Project Type

Object Detection




car, extra large truck, large bus, large truck, medium truck, small bus, small truck

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