Wheelchair Detection Computer Vision Project
Here are a few use cases for this project:
-
Accessibility Assessment: The model could be used to analyze populated areas in real-time to spot potential accessibility issues for people using wheelchairs and assist in designing more wheelchair-friendly spaces.
-
Aid for Self-Driving Vehicles/Autonomous Robots: In the development of self-driving vehicles or autonomous robots, this model would help in identifying and navigating around wheelchairs or people using similar mobility aids to avoid accidents and mishaps.
-
Security Surveillance: Surveillance systems could utilize this model to ensure safety for people with disabilities by identifying when someone in a wheelchair is present and potentially assisting in emergency situations, e.g., through allocating resources or alerting personnel.
-
Augmented Reality for Disabled: The model can be used to develop an AR app that provides information about wheelchair navigation routes, ramp location, and obstruction to people with mobility impairments.
-
Health Care Facilities: In hospitals or nursing homes, this model could aid in tracking movement of wheelchair-bound patients or residents for their safety and monitor if assistance is needed.
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{ wheelchair-detection-hh3io_dataset,
title = { Wheelchair Detection Dataset },
type = { Open Source Dataset },
author = { MobilityAids },
howpublished = { \url{ https://universe.roboflow.com/mobilityaids/wheelchair-detection-hh3io } },
url = { https://universe.roboflow.com/mobilityaids/wheelchair-detection-hh3io },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2023-12-05 },
}Find utilities and guides to help you start using the Wheelchair Detection project in your project.
Source
Last Updated
3 months ago
Project Type
Object Detection
Subject
wheelchair-walker
Classes
0, 1, 2, aeroplane, apple, backpack, banana, baseball bat, baseball glove, bear, bed, bench, bicycle, bird, boat, book, bottle, bowl, broccoli, bs, bus, cake, car, carrot, cat, cell phone, chair, child, clock, cow, crutches, cup, diningtable, dog, donut, elephant, fire hydrant, fork, frisbee, hair drier, handbag, horse, hot dog, keyboard, kite, knife, laptop, microwave, motorbike, mouse, orange, oven, parking meter, ped, people, peopleWithWheelchair, person, person_cane, person_crutch, person_walking_frame, person_wheelchair, pizza, pottedplant, push_wheelchair, refrigerator, remote, sandwich, scissors, seinor, sheep, sink, skateboard, skis, sofa, spoon, sports ball, stop sign, suitcase, surfboard, teddy bear, tennis racket, tie, toaster, toilet, toothbrush, traffic light, train, truck, tvmonitor, umbrella, vase, walking_frame, wheelchair, wine glass, zebra
Views: 509
Downloads: 31
