#Japan #Tokyo #AI Development #Qlean Dataset #Visual Bank

Introduction

Visual Bank Inc., based in Minato-ku, Tokyo, has recently initiated the provision of the "Japanese Residential Floor Plan Dataset" through its AI training data solution, Qlean Dataset, operated by its subsidiary Amana Images Inc. This new dataset is a significant addition to the AI Data Recipe lineup, offering vital resources for the development of AI systems that necessitate a sophisticated comprehension of spatial arrangements in the architectural and real estate sectors.

Dataset Overview

The dataset encompasses a variety of floor plan drawings that reflect the typical layouts found in Japanese homes. It includes both detached houses and multi-unit residences, such as apartments and condominiums. The aim of this compilation is to furnish researchers and developers with the necessary data to conduct analysis and build models that demand an understanding of residential layouts.

Data Specifications

The dataset comprises:

• - Data Types: Images and text (specifically, architectural drawings)
• - Object Attributes: Include various housing types such as detached houses, multi-unit residences like apartments, and design formats like 1R, 1K, and 1LDK.
• - Data Formats: Available in JPEG and PDF formats, which are widely used and easily accessible.

For those interested in reviewing sample data, further details can be found at Qlean Dataset Sample.

Use Cases for the Dataset

Research Applications

1. Architectural Drawing Analysis: The dataset can be utilized to analyze image recognition technologies focused on identifying room configurations and spatial relationships within various housing layouts.
2. Multimodal AI Validation: By integrating images of floor plans with corresponding textual descriptions, researchers can develop and test multimodal AI models that merge visual and textual information.

Industrial Applications

1. Real Estate Technology: The dataset serves as a critical resource for the development of AI systems designed for property technology applications, such as real estate search engines and property management solutions where automatic extraction and classification of properties based on floor plans is essential.
2. Assistance in Housing Design: In the realm of housing design and renovation, this comprehensive dataset can be used to train AI systems that assist in formulating design recommendations based on existing residential layouts.

About Qlean Dataset

As a product of Amana Images Inc., a subsidiary of Visual Bank Inc., Qlean Dataset aims to provide a legally compliant AI training data solution that covers a multitude of formats, including images, videos, and textual data. The protection of intellectual property and legal compliance is a fundamental aspect of this service, catering to both research-oriented and commercial AI applications.

With the backing of strategic partnerships, including collaborations with organizations such as Chiba Lotte Marines and Toyo Keizai Inc., Qlean Dataset is continually enhancing its offerings and adapting to the latest industry trends. By alleviating the burdens associated with data collection and preparation, Qlean Dataset enables organizations to create an efficient and compliant environment for AI development.

Contact Information

For inquiries about the Qlean Dataset or to learn more about Visual Bank and its initiatives:

• - Visual Bank Inc.

CEO: Saneyuki Nagai
Address: 6F, C-Cube Minami Aoyama Building, 7-1-7 Minami-Aoyama, Minato-ku, Tokyo
Corporate Site: Visual Bank
Amana Images: Amana Images

In summary, the launch of the Japanese Residential Floor Plan Dataset represents a progressive step forward in AI educational resources for architecture and real estate, promising to foster innovation and enhance understanding of residential designs.