Road-users-disabilities Object Detection Dataset and Pre-Trained Model by RaylexAguirre

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Explore Dataset

Here are a few use cases for this project:

Accessible Infrastructure Planning: City planners and architects can utilize the "Road-users-disabilities" model to analyze pedestrian traffic and identify areas with higher concentrations of wheelchair users. This can help them prioritize and design accessible infrastructure such as wheelchair ramps, wider sidewalks, and adapted pedestrian crossings.
Assistive Navigation Applications: Developers can integrate the "Road-users-disabilities" model into navigation applications to alert wheelchair users of congested areas, obstacles or inaccessible routes, thus improving the travel experience for individuals with mobility impairments.
Emergency Response Planning: Emergency services can use the "Road-users-disabilities" model to monitor and assess areas with a significant presence of wheelchair users, creating tailored rescue and evacuation plans that consider accessibility challenges for this demographic.
Research in Urban Mobility: Researchers and urban sociologists can use the "Road-users-disabilities" computer vision model to study patterns and trends of wheelchair use in public spaces, which can enhance understanding of urban mobility for individuals with disabilities and contribute to more inclusive city planning policies.
Public Transportation Analysis: Public transportation agencies can incorporate the "Road-users-disabilities" model to assess the accessibility and usage of bus, train, and tram stops by wheelchair users. This information can inform the need for additional wheelchair-accessible vehicles, stops, or tailored transit routes.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ road-users-disabilities_dataset,
    title = { Road-users-disabilities Dataset },
    type = { Open Source Dataset },
    author = { RaylexAguirre },
    howpublished = { \url{ https://universe.roboflow.com/raylexaguirre/road-users-disabilities } },
    url = { https://universe.roboflow.com/raylexaguirre/road-users-disabilities },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { sep },
    note = { visited on 2023-09-29 },
}