VCCOHEXA

vc_cohexa_batch1

Object Detection

1

vc_cohexa_batch1 Computer Vision Project

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Here are a few use cases for this project:

  1. Traffic Monitoring and Management: Use "vc_cohexa_batch1" to analyze traffic flow by recognizing different vehicle types such as motor, mobil, truk, and bus. This information can contribute to smart traffic management, allowing authorities to optimize traffic signal timings, detect violations, and improve overall traffic conditions.

  2. Autonomous Vehicle Navigation: Integrate "vc_cohexa_batch1" into autonomous driving systems to enable the vehicle to identify different types of vehicles on the road. This will enhance safety measures and help the autonomous vehicle make informed driving decisions, especially in complex and off-road terrains, such as muddy roads with rocks and trees.

  3. Vehicle Classification for Toll Collection: Employ "vc_cohexa_batch1" at toll booths to automatically identify and classify vehicle types (motor, mobil, truk, bus) for appropriate toll fee calculation. This can significantly speed up the toll collection process and minimize human error in assessing the right fees.

  4. Fleet Tracking and Management: Utilize "vc_cohexa_batch1" for monitoring and managing the movement of a fleet of vehicles in industries like logistics, public transportation, and construction. The model can help track vehicle types and their locations, improving operational efficiency and asset management.

  5. Road Safety Analysis: Apply "vc_cohexa_batch1" to study road safety by identifying types of vehicles involved in accidents or near-misses. This data can help transportation engineers and urban planners design safer roads by better understanding the interactions between different vehicle classes in various road conditions, including challenging environments like muddy roads with rocks and trees.

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{
                            vc_cohexa_batch1_dataset,
                            title = { vc_cohexa_batch1 Dataset },
                            type = { Open Source Dataset },
                            author = { VCCOHEXA },
                            howpublished = { \url{ https://universe.roboflow.com/vccohexa/vc_cohexa_batch1 } },
                            url = { https://universe.roboflow.com/vccohexa/vc_cohexa_batch1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-02-25 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the vc_cohexa_batch1 project in your project.

Source

VCCOHEXA

Last Updated

a year ago

Project Type

Object Detection

Subject

mobil

Views: 244

Views in previous 30 days: 14

Downloads: 15

Downloads in previous 30 days: 1

License

CC BY 4.0