3D Hip Hop Dance
2025-10-06 04:37:58

Visual Bank Unveils 3D Hip Hop Dance Dataset for AI Research and Development

Visual Bank Launches 3D Hip Hop Dance Dataset



Visual Bank, a Tokyo-based startup led by CEO Masanori Nagai, is set to enhance AI research and commercial applications with the launch of its new product: the 3D Hip Hop Dance Dataset, part of its comprehensive Qlean Dataset. This innovative dataset adds to Visual Bank's existing solutions in AI learning data and aims to support various AI development needs.

Overview of the 3D Hip Hop Dance Dataset


The newly introduced dataset comprises 80 different fundamental hip hop dance movements, captured with high precision. The data features two Japanese dancers in their twenties, one male and one female, allowing researchers to utilize an authentic representation of hip hop dance.

Key Attributes:


  • - Accessibility: Users can capture 360-degree angles, offering flexibility in how the data can be utilized.
  • - Compatibility: The dataset includes formats such as OBJ, PLY, C3D, and Alembic, accommodating various 3D software needs.
  • - Quantity: A total of 80 dance movements are available for researchers and developers.
  • - Sample Details: Interested parties can access sample images and data at Qlean Dataset Lineup.

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Note: The image is a representation. Actual content consists of video data.

Potential Use Cases for the 3D Hip Hop Dance Dataset


Visual Bank's 3D Hip Hop Dance Dataset is not just a collection of movements but a supportive tool across various fields:

1. 3D Pose Estimation and Motion Analysis AI Development


Utilizing volumetric video technology, the dataset captures high-fidelity dance movements from all angles. This precision makes it an ideal training set for 3D pose estimation models, suitable for sports science and emotional expression studies.

2. Research in Generative AI and Motion Capture


With a variety of hip hop movements digitized in 3D, developers can leverage the dataset for generative AI applications, including automatic choreography generation and realistic character animations.

3. Applications in Virtual Humans and Metaverse Development


The 360-degree filming data proves advantageous in creating realistic physical representations within VR/AR settings, making it suitable for fashion showcases, music performances, and virtual advertisements.

4. Support for Entertainment and Animation Production


The high-quality motion data serves as a reference for dance animations and live performance productions, significantly reducing production costs in the gaming and music industries.

5. Robotics and Humanoid Motion Learning


The unique rhythm and coordination captured in this dataset provide an opportunity for developers to train AI on rhythm control and mimicking human-like movements.

Features of the Qlean Dataset


The Qlean Dataset not only boasts a remarkable variety of original data but also supports both research and commercial utilization:
  • - Compliant with Privacy Policies: All data is collected with agreement from the subjects, aligning with privacy policies in multiple countries.
  • - Efficient and Cost-effective: The unique structure of the dataset allows for rapid deployment, maximizing the return on investment (ROI) for users.
  • - Custom Dataset Creation: For unique requirements outside of the standard offerings, the Qlean Dataset team can provide tailored data solutions.

For more information about the Qlean Dataset or to make inquiries, visit the Qlean Dataset Contact Page.

Academia Support Program


Visual Bank is committed to enhancing academia’s capabilities in AI data solutions. The Qlean Dataset will offer free datasets to eligible universities, research institutions, and non-profit tech teams, addressing challenges in acquiring high-quality, legally clear learning data. This initiative supports over 500,000 data points across various categories, including images, videos, and texts. For details, see the Academia Support Program.

About Visual Bank


Visual Bank is a startup focused on revolutionizing data infrastructure to unlock the potential of all types of data. The company, which holds an affiliation with Amana Images, aims to support creators and businesses through AI-enhanced data solutions, including tools for manga artists, as well as the Qlean Dataset. The company has also been selected as a participant in the national GENIAC research and development program, further accelerating its societal contributions.

CEO: Masanori Nagai
Location: 7-1-7 C-Cube Minami Aoyama Building 6F, Minato, Tokyo, 107-0062
Visual Bank Website
Amana Images About Page


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