Visual Bank Inc. (Minato-ku, Tokyo; CEO: Saneyuki Nagai), through its subsidiary amanaimages Inc., has launched the Japanese Temple Image Dataset under its AI training data solution, Qlean Dataset.

The dataset is designed for AI development and research in image recognition, image classification, and multimodal AI.
The dataset consists of photographs of Buddhist temples across Japan, capturing architectural elements such as main halls, gates, and temple grounds in real outdoor environments.
Temples in diverse locations, from urban areas to mountainous regions, are included, reflecting variations in Japanese religious architecture and cultural landscapes.
Images are captured across different seasons and weather conditions, showing architectural structures in relation to their surrounding natural environments—an essential characteristic of Japanese temple spaces.
Each image includes metadata on location and subject attributes, enabling use as contextual visual data rather than standalone scenic imagery.
By focusing on the specific domain of Japanese temples, the dataset supports the training and evaluation of AI models that require culturally and architecturally grounded visual data not easily covered by general-purpose datasets.

This dataset is offered as part of Qlean Dataset’s original lineup, AI Data Recipe, with rights clearance for both research and commercial AI development.
Visual Bank provides domain-specific, ready-to-use training data to support practical AI implementation.

Dataset Specifications: Japanese Temple Image Dataset 

Use Case Examples Research Applications

Research Applications

• Cultural Heritage and Landscape Understanding Models
  The dataset can be used as training and evaluation data for image recognition models focused on Japanese religious architecture and historical landscapes, enabling the identification of differences in architectural styles and spatial composition.

 Industrial Applications 

• Validation of Image Recognition AI for Tourism and Cultural Services
  The dataset can be used to evaluate classification and tagging accuracy for landscape images containing temples in tourism applications and cultural information platforms.

•  Enhancing Japanese Cultural Domains in Multimodal AI
  In multimodal models that combine images and text, the dataset supports evaluation and fine-tuning of response accuracy related to Japanese cultural and architectural elements.

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