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Video Data Collection and Curation for Two-wheeler Vehicles

Object Detection
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Video Data Collection and Curation for Two-wheeler Vehicles Computer Vision Project

University of Canberra ITS project

Updated 2 years ago

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Object Detection Model
Classes (24)
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

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Description

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.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-12-22 },
                            }

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