Visual Bank Inc. (Minato-ku, Tokyo; CEO: Saneyuki Nagai; hereinafter “Visual Bank”) has started providing the “Japanese Residential Floor Plan Dataset” through Qlean Dataset, an AI training data solution operated via its subsidiary, Amana Images Inc.

This dataset is provided as part of Qlean Dataset’s machine learning dataset lineup, AI Data Recipe, and consists of floor plan drawings of residential properties in Japan. It is designed for research and development of AI systems that require spatial understanding in the fields of architecture, housing, and real estate.

The dataset is structured based on floor plan representations commonly used in Japanese residential design practice. It can be used for model validation and accuracy evaluation under conditions that closely reflect real-world environments. In addition to academic research, it is suitable for AI development in industrial applications such as property technology and housing-related services.

Dataset Overview: “Japanese Residential Floor Plan Dataset”

Use Case Examples for the Japanese Residential Floor Plan Dataset

For Research Use

• Image Recognition and Structural Analysis of Architectural Drawings
  The dataset can be used to study image recognition and drawing understanding models that analyze room layouts and spatial structures from residential floor plans.

• Spatial Representation in Multimodal AI
  By combining floor plan images and textual information, the dataset supports evaluation of multimodal models that integrate visual and language-based representations.

Industrial Use Cases

• Development of Floor Plan Analysis AI for Property Technology
  In real estate search services and property management systems, the dataset can be used to develop AI functions that automatically extract and classify property attributes from floor plans.

• Training Data for Housing Design and Renovation Support AI
  The dataset can serve as foundational training data for housing design tools and renovation proposal systems by learning patterns from existing residential floor plans.

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