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

Visual Bank Unveils the Qlean Dataset

In an era where artificial intelligence (AI) is rapidly transforming industries, Visual Bank Inc., based in Shibuya, Tokyo, has taken a significant step forward by introducing the Qlean Dataset through its subsidiary, Amana Images. This new dataset is specifically designed to support commercial AI development across various sectors and now includes extensive 3D video data showcasing everyday human movements such as running, walking, sitting, and standing.

Expanding Data Capabilities for AI

The addition of this everyday motion dataset marks a vital expansion of the Qlean Dataset's offerings, collectively referred to as ‘Data Recipes’. The Data Recipes consist of a flexible combination of commercial-use original datasets tailored for immediate application in AI development. Researchers and companies can utilize a range of data options, including partially annotated or unannotated data, with the possibility of customizing datasets based on specific project requirements.

As part of its commitment to enhancing data utility, Visual Bank has partnered with organizations such as the Chiba Lotte Marines and Toyo Keizai Inc. to broaden its dataset offerings. This collaborative approach aims to significantly reduce the burden associated with data collection and organization, thereby accelerating the pace of AI development.

Detailed Overview of the New Dataset

The newly introduced 3D video dataset includes:

• - Captured Actions: running, walking, sitting, and standing
• - Number of Participants: 2 individuals
• - Data Formats: Alembic, PLY, C3D, OBJ
• - Total Files: 41
• - Total Recording Time: 6 minutes and 2 seconds
• - Average Time per File: 9 seconds

For sample data showcasing the video's capabilities, you can click here.

Practical Applications in AI Development

The versatility of the Qlean Dataset extends across various applications:
1. Detecting Abnormal Movements and Fall Risks: High-precision 3D data of normal movements can be used as a comparative model in AI systems for detecting fall risks in nursing homes and hospitals.
2. Surveillance Footage Analysis: The dataset is optimal for training AI systems that distinguish and classify different daily actions, thus improving the accuracy of security and behavioral analysis solutions.
3. Game and Animation Production: 3D motion data derived from motion capture is valuable in recreating realistic character movements in gaming and 3D animation projects.
4. Natural Motion Learning for Virtual Avatars: This dataset aids in developing smooth avatar behaviors in virtual reality and metaverse environments, enhancing experiences in virtual customer service, remote meetings, and educational platforms.
5. Worker Posture Detection in Industry: Accurate reproduction of basic postures can help AI systems to detect improper positions or fatigue indicators in manufacturing and logistics settings, contributing to safety measures in these sectors.
6. Rehabilitation Support: The dataset can aid the development of models for evaluating patients’ movements against a baseline of normal motion trajectories, with applications in orthopedics and remote rehabilitation technology.
7. Robot Control and Humanoid Development: The 3D data is suitable for training AI focused on imitating human-like movements, valuable from research to commercial robot applications, including service and care robots.

Quality and Compliance in AI Data Collection

Visual Bank ensures that all captured data comes with consent from the subjects involved, adhering to privacy regulations across different countries. This guarantees that researchers and businesses can confidently utilize the Qlean Dataset for both research and commercial purposes.

Moreover, the innovative Data Recipe approach allows for speedy data procurement with minimized initial investments, maximizing return on investment (ROI) for users.

If the required dataset is not included within the standard offerings, custom datasets can be created to meet specific client needs, leveraging the unique capabilities of the Qlean Dataset.

For inquiries, visit the contact page here.

Upcoming Seminar on AI and Copyright

In addition to the unveiling of the Qlean Dataset, Visual Bank will host a free online seminar on August 20, 2025, discussing copyright risks associated with generative AI. Legal experts from ZeLo will outline legal responsibilities in AI development, research, and implementation. This session is highly relevant for those interested in understanding the implications of ethical data sourcing in AI.

• - Date: August 20, 2025 (Wednesday)
• - Time: 14:00 - 15:30 (JST)
• - Format: Online (Free)
• - Speakers: Legal professionals from ZeLo and Qlean Dataset leaders
• - Registration: Sign Up Here

Visual Bank Inc. is committed to building next-generation data infrastructure that maximizes AI development capabilities. With the mission of unlocking the potential of all data, the company is fully invested in providing innovative services including the Qlean Dataset, thus reinforcing its position as a leader in AI data solutions.