University of Canberra ITS project

Video Data Collection and Curation for Two-wheeler Vehicles

Object Detection

Roboflow Universe University of Canberra ITS project Video Data Collection and Curation for Two-wheeler Vehicles
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Video Data Collection and Curation for Two-wheeler Vehicles Computer Vision Project

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Here are a few use cases for this project:

  1. Autonomous Vehicles Navigation: This model could be vital in recognizing obstacles for self-driving two-wheeler vehicles. These vehicles could use the model to identify potential road hazards and navigate around them safely.

  2. Road Maintenance and Safety: Local municipalities or city planning teams could use this model to proactively identify and repair road damage like potholes, subsidence, or loose surfaces, thus improving road safety.

  3. Augmented Reality Touring: This model can be used in AR-based touring applications to provide cyclists or motorbike riders with real-time updates about upcoming obstacles or potential hazards on their route.

  4. Game Development: Developers of driving or biking simulation games can use this model to make their virtual environments more realistic by including a diverse array of street obstacles that players must avoid.

  5. Insurance claim processing: Insurance companies could utilize this system to assess the validity of claims related to two-wheeler accidents. The system could analyze video data to determine if reported obstacles were indeed present and had contributed to the accident.

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{
                            video-data-collection-and-curation-for-two-wheeler-vehicles_dataset,
                            title = { Video Data Collection and Curation for Two-wheeler Vehicles Dataset },
                            type = { Open Source Dataset },
                            author = { University of Canberra ITS project },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-canberra-its-project/video-data-collection-and-curation-for-two-wheeler-vehicles } },
                            url = { https://universe.roboflow.com/university-of-canberra-its-project/video-data-collection-and-curation-for-two-wheeler-vehicles },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-20 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Video Data Collection and Curation for Two-wheeler Vehicles project in your project.

Last Updated

a year ago

Project Type

Object Detection

Subject

Street-obstacles

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Views in previous 30 days: 143

Downloads: 40

Downloads in previous 30 days: 4

License

CC BY 4.0

Classes

Bird Bollard Bridge Crack Curb Dog Encroaching Flora Hazards Loose surface Low branch Motorbike People Ramp Road vehicles Stick Subsidence Truck Water Wet surface bump cyclist dip pothole rock