README.md

metadata

tags:
  - image classification
  - model training
  - medical assistance
  - elderly care
  - rehabilitation
license: cc-by-nc-sa-4.0
task_categories:
  - image-classification
language:
  - en
pretty_name: Electric Wheelchair Model Classification Image Dataset
size_categories:
  - 1B<n<10B

Electric Wheelchair Model Classification Image Dataset

In the current medical industry, the use of electric wheelchairs is increasingly popular, especially in elderly care and rehabilitation. However, existing methods for classifying electric wheelchairs often rely on manual labeling, which is inefficient and prone to errors. Current solutions often cannot provide efficient, accurate classification support, leading to resource waste and poor patient experience. This dataset aims to provide high-quality electric wheelchair image data to support automated image classification tasks, thereby improving classification accuracy and efficiency. Data collection uses professional photography equipment to capture different models of electric wheelchairs in a natural light environment, ensuring image quality. For quality control, multiple rounds of labeling and consistency checks are employed to ensure accurate labeling of each image. The data is stored in JPG format, organized by category for easy retrieval and use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
color	string	The exterior color of the electric wheelchair.
wheel_type	string	Type of wheels equipped on the electric wheelchair.
seat_material	string	Material used for the seat of the electric wheelchair.
control_interface_type	string	Type of interface used to control the electric wheelchair.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com