Visual Bank Inc. (Minato-ku, Tokyo; CEO: Saneyuki Nagai) has launched a new “Wheelchair Image Dataset” through its subsidiary amanaimages Inc., under its AI training data solution, Qlean Dataset.

The dataset is designed to support research and development in visual AI domains, including image recognition, object detection, semantic segmentation, and multimodal AI systems.

The dataset consists of real-world images featuring wheelchairs, both as standalone subjects and in scenes including wheelchair users. It captures everyday mobility situations, including individuals using wheelchairs independently and scenes where they are accompanied by caregivers.

Images were photographed in both indoor and outdoor environments, providing visual information relevant to mobility support and barrier-free design contexts.

As aging populations expand and universal design initiatives advance globally, there is increasing demand for improved accessibility solutions in public spaces, commercial facilities, and transportation systems.

Accurate recognition of wheelchairs and wheelchair users is a foundational capability for AI systems used in monitoring applications, assistive robotics, and smart city infrastructure.

This dataset enables model training and validation using visual data that reflects real-world environmental conditions.

Qlean Dataset provides commercially usable data with confirmed rights clearance, including copyright and portrait rights.

The solution supports AI projects from research and prototyping stages through to real-world deployment by ensuring the availability of legally compliant training data.

Overview of the Wheelchair Image Dataset 

 Example Use Cases 

Research Applications 

• Object Detection and Segmentation for Mobility Support in Indoor and Outdoor Environments
  The dataset can be used to evaluate object detection and segmentation models targeting wheelchairs and wheelchair users across diverse real-world backgrounds. It is suitable for research on accessibility recognition algorithms in public environments.

• Evaluating Social Context Understanding in Multimodal Foundation Models
  Images that include wheelchair users and accompanying individuals can be used to assess multimodal models that infer interpersonal relationships and situational context from visual input.

 Industry Applications 

• AI Camera Systems for Commercial and Public Facilities
  The dataset can support development of AI systems that detect wheelchair users from facility camera feeds, enabling functions such as elevator prioritization or staff notification. It may be used as training and evaluation data for person-attribute detection algorithms.

• Environmental Perception for Assistive Robots and Autonomous Systems
  Mobile assistive robots and autonomous platforms operating indoors and outdoors can use the dataset to train visual models that recognize the position and movement of wheelchair users. It can contribute to improvements in safety mechanisms and path planning accuracy.

Additional Practical Applications

• Barrier-Free Environment Assessment Tools
  The dataset can serve as foundational visual data for tools that analyze wheelchair user mobility in urban or facility environments, supporting evaluation and improvement proposals for accessibility design.

About Qlean Dataset

Qlean Dataset is a commercial-use-ready AI training data solution provided by Amana Images Inc., a subsidiary of Visual Bank Inc.
It supports a wide range of data types, including images, videos, audio, 3D assets, and text, enabling both research and commercial AI development in a legally safe environment.
Through collaborations with data partners such as Chiba Lotte Marines Co., Ltd. and Toyo Keizai Inc., Qlean Dataset continues to expand its specialized, industry-focused lineup known as the “AI Data Recipe.”
By reducing the operational burden of data collection and preparation, Qlean Dataset helps organizations establish AI development environments that are both legally compliant and risk-free.

▶ Qlean Dataset: https://qleandataset.visual-bank.co.jp/en
▶ AI Data Recipe: https://qleandataset.visual-bank.co.jp/en/lineup

Key Features of Qlean Dataset

• Existing datasets deliverable within one business day

• Custom data collection and recording services available

▶ Contact: https://qleandataset.visual-bank.co.jp/en/contact

About Visual Bank Inc.

Visual Bank Inc. is a Tokyo-based startup building Next-Generation Data infrastructure to enhance AI development capabilities under the mission “Unlocking Data Accessibility.”
The company operates THE PEN, an AI-assisted creative tool for manga artists and the Qlean Dataset service.
Its subsidiaries include Amana Images Inc., one of Japan’s largest photostock providers; Qlean Dataset, which leads research and development in AI data; and THE PEN Inc., an AI-assisted creative tool for manga artists.

CEO: Saneyuki Nagai
Address: 6F, C-Cube Minami Aoyama Building, 7-1-7 Minami-Aoyama, Minato-ku, Tokyo 107-0062
Corporate Site: https://visual-bank.co.jp/en
Amana Images: https://qleandataset.visual-bank.co.jp/en/company-overview