Electric Wheelchair Object Detection Image Dataset
#object detection #image recognition #medical assistance #rehabilitation equipment #intelligent transportation
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current medical industry faces the challenges of an aging society and disabled groups, and the demand for electric wheelchairs is rising. However, existing object detection technology has a low recognition accuracy in complex environments, especially in dynamic scenes. This dataset aims to improve the accuracy and robustness of object detection algorithms through a wealth of electric wheelchair image data to meet the intelligent needs of assistive medical devices. Data collection was conducted using high-resolution cameras in real scenarios at hospitals and rehabilitation centers, ensuring data diversity and authenticity. To ensure data quality, multiple rounds of annotation and expert review mechanisms were used to ensure annotation consistency and accuracy. The data is stored in JPEG format and organized by folders to facilitate subsequent processing and use.
Overview
Dataset Insights
Preview
Sample Examples
b5fe527a**.jpg|1080*1080|347.87 KB
bddc1834**.jpg|1080*1379|345.31 KB
22a5ffe2**.jpg|1080*1440|174.08 KB
0b317c14**.jpg|1080*1364|302.93 KB
bbd9929c**.jpg|900*1200|190.93 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of wheelchair objects detected in the image. |
| wheelchair_type | string | The type or model of the electric wheelchair. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What is the main purpose of the Electric Wheelchair Object Detection Image Dataset?
- The dataset is primarily used for training and testing object detection algorithms to identify and locate the electric wheelchair in images, aiding the development of medical assistive technology.
- How does this dataset help improve assistive technology in the healthcare industry?
- By providing a large set of annotated images of electric wheelchairs, this dataset aids researchers and developers in improving image recognition systems, enhancing the accuracy of detecting electric wheelchairs in complex environments, and thereby improving the reliability and efficiency of assistive technology in healthcare.
- Are there any successful case studies using the Electric Wheelchair Object Detection Image Dataset?
- Yes, this dataset has been used in several research projects, successfully improving the accuracy and speed of object detection algorithms in complex medical environments.
- What specific advantages does the Electric Wheelchair Object Detection Image Dataset offer to researchers?
- For researchers, this dataset provides a challenging environment that aids in the development and testing of more advanced object detection algorithms, enhancing their applicability in medical assistive technology.
- How widely is this dataset used in the healthcare sector?
- This dataset is widely used in fields such as assistive driving, navigation systems, and automated caregiving equipment in the healthcare industry, helping to enhance the intelligence of electric wheelchairs and other assistive devices.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2025,
title={Electric Wheelchair Object Detection Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/1b507783bbc7235dfdcc8cd33d9d4b13?dataset_scene_id=4},
urldate={2025-10-22},
keywords={electric wheelchair dataset, object detection, medical image data, image recognition},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder