sidewalk accesibility Object Detection Dataset and Pre-Trained Model by workspace

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Explore Dataset

Here are a few use cases for this project:

City Accessibility Planning: Urban planners and local governments could utilize this model to analyze city streets and sidewalks, identify areas of inaccessibility for individuals with mobility challenges, and prioritize improvements.
Navigation Apps: Developers of GPS and navigation apps could integrate this model to provide more accurate routing for users with accessibility needs, avoiding areas identified as obstructed or unstable.
Real Estate Evaluation: Realtors and prospective home buyers could use this computer vision model to evaluate the accessibility of a particular neighborhood or street, aiding in the decision-making process for individuals needing ease of access.
Construction Management: Construction companies could employ this model to check the accessibility of their work sites both during and after completion, ensuring they comply with accessibility regulations and maintain safe, navigable environments.
Assisting People with Disabilities: Organisations dedicated to helping people with disabilities could use this model, combined with a mobile app, to help the disabled identify and avoid problematic sidewalks or streets.

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{
                            sidewalk-accesibility_dataset,
                            title = { sidewalk accesibility Dataset },
                            type = { Open Source Dataset },
                            author = { workspace },
                            howpublished = { \url{ https://universe.roboflow.com/workspace-hilvn/sidewalk-accesibility } },
                            url = { https://universe.roboflow.com/workspace-hilvn/sidewalk-accesibility },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-17 },
                            }