1/27/2026
Qlean Dataset Launches a Japanese Garden Image Dataset for Vision and Multimodal AI

Visual Bank Inc. (Minato-ku, Tokyo; CEO: Saneyuki Nagai) has launched the “Japanese Garden Image Dataset” through its subsidiary amanaimages Inc. as part of its AI training data solution, Qlean Dataset.
The dataset is designed for the development and evaluation of generative AI systems and multimodal foundation models.
This dataset consists of images captured at Japanese gardens across various regions of Japan, including karesansui (dry landscape gardens) and stroll-style gardens.
The images depict garden landscapes featuring elements such as ponds, stone arrangements, moss, sand patterns, and vegetation.
Because the scenes include a mixture of natural elements and intentionally designed structures, the dataset can be used as part of training data for generative AI models addressing landscape and spatial design domains.
Each image is accompanied by metadata related to the shooting location and subject matter.
In addition to standalone image training, the dataset is intended to be incorporated as one component of large-scale training data for Vision-Language Models (VLMs) and multimodal foundation models that combine visual and textual information.
The dataset is not limited to specific product use cases and is suitable for expanding landscape-related data categories in foundation model development.
Qlean Dataset provides data to support AI development ranging from academic research to commercial applications.
This dataset is also offered with the assumption of use in foundation model development and generative AI systems.
Dataset Specifications
Data Type | Images |
|---|---|
Subject Category | Japanese Gardens |
Data Format | JPEG / PNG |
Shooting Environment | ・Japanese gardens across various regions of Japan, including karesansui and stroll-style gardens |
Additional Information | Metadata included |
Sample Details |

Use Case Examples for the “Japanese Garden Image Dataset”
Research Use
Evaluation of image understanding models focused on Japanese culture.
By using the structural and landscape elements of Japanese gardens as input, the dataset can be applied to research evaluating how effectively image classification and image captioning models recognize and represent visual characteristics specific to Japanese culture.
Industrial Use
Validation of image recognition AI for tourism and cultural domains.
The dataset can be used to develop and evaluate automatic recognition and classification functions for landscape images, including Japanese gardens, in tourism guide applications and cultural heritage-related services.
Additional Practical Applications
Prototyping AI systems for multimodal educational content.
The dataset can be applied to testing explanation generation and search functions using Japanese garden images in educational AI systems and digital archive platforms that combine visual and textual information.
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





