Visual Bank Launches Japanese Full-Body Image Dataset for AI Development

Visual Bank Unveils the Japanese Full-Body Image Dataset

Visual Bank Inc., based in Shibuya, Tokyo, under the leadership of CEO Masayuki Nagai, has taken a significant step in the field of AI development with the launch of the Japanese Full-Body Image Dataset as part of its Qlean Dataset initiative. This new dataset will bolster their already extensive offerings for AI training, accommodating various commercial and research needs.

Through its subsidiary, Amano Images, Visual Bank is actively enhancing the breadth of its AI data solutions. The introduction of the Japanese Full-Body Image Dataset is part of their strategy to expand the Qlean Dataset lineup, specifically targeting the unique requirements of AI developers. This rich dataset will support multiple applications across industries, showcasing Visual Bank’s commitment to driving forward AI innovation.

Overview of the Japanese Full-Body Image Dataset

The dataset includes a wide range of images, capturing the nuances of human posture in various settings, both indoors and outdoors. Here are the key features of this dataset:

- Contents: Images taken with and without accessories, in different poses and environments.
- Shooting environments: Captured in both indoor and outdoor settings.
- Data Format: All images are provided in JPEG format.
- Data Size: Approximately 500GB of data encompassed in 10,000 images.

For sample images and more information, you can visit this link.

Potential Use Cases for the Dataset

1. Fashion AI Models: This dataset will significantly enhance the development of virtual fitting and outfit recommendation systems for e-commerce. By providing diverse imagery including various styles, AI models can be trained to predict purchasing behavior and personalize advertising efforts.
2. 3D Character and Virtual Human Creation: The dataset's comprehensive full-body images can be utilized for 3D modeling and avatar design, particularly beneficial in the gaming, metaverse, and remote customer service industries.
3. Person Detection and Tracking Models: Enhanced accuracy can be achieved in object detection and tracking models, essential in surveillance analysis, AR/VR applications, and sports tracking apps due to the multi-dimensional backgrounds and lighting conditions.
4. Posture Estimation and Motion Analysis: The dataset serves as a vital resource for sports performance evaluations, medical rehabilitation, and fitness technology applications.
5. Anomaly Detection for Safety Management: Rich variations in normal behavior pose a great advantage for use in surveillance cameras and safety systems.
6. Attribute Estimation: The dataset's demographic diversity aids in training AI for age, gender, and physical attribute estimation, facilitating targeted marketing strategies.
7. Gesture Recognition and Non-Verbal Expression Analysis: Data variations in poses and movements will enrich research in robotics and human-computer interaction.
8. AF (Auto-Focus) Improvement: The diverse angles and conditions captured will assist in refining auto-focus technology for cameras and smartphones, leading to faster and more accurate focus solutions.

Features of Qlean Dataset

All datasets provided through the Qlean Dataset guarantee compliance with international privacy policies. Visual Bank ensures that consent for image usage has been obtained from all subjects, instilling confidence for research and commercial applications in their clients.

The AI Data Recipe format allows for speedier data acquisition while optimizing return on investment (ROI). Unique datasets tailored to specific requirements can also be developed, showcasing Visual Bank's capabilities in creating customized data solutions.

Supporting Academia

In a groundbreaking move, Visual Bank has launched a program to provide free access to datasets for academic institutions and non-profit tech development teams. This initiative aims to address the challenges in accessing high-quality, rights-cleared training data, offering over 500,000 points of data across 80 categories including images, audio, video, and text.

Visual Bank continues to innovate with its mission to unleash the potential of data, exemplified through products like AI-enhanced tools for manga artists and other offerings through Amano Images.

To learn more about Qlean Dataset or to make inquiries, please visit their official website.
For further inquiries regarding the academic support program, please refer to this link.

Visual Bank is committed to constructing a next-generation data infrastructure aimed at maximizing AI development capabilities and fostering the burgeoning field of artificial intelligence.