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

Visual Bank Unleashes New AI Learning Dataset

Visual Bank, based in Shibuya, Tokyo, is making strides in the AI data solutions sector by announcing the release of its latest addition to its Qlean Dataset lineup: a comprehensive dataset featuring basketball game videos. This initiative is a part of their broader goal to facilitate AI development and research across various industries.

What is Qlean Dataset?

Qlean Dataset offers a unique AI data solution tailored for both commercial and research applications, providing high-quality, ready-to-use data materials that can be customized according to specific needs. With this new basketball video dataset, users can access a rich reservoir of data that significantly eases the burden of data collection and organization for AI developers.

Features of the Basketball Game Video Dataset

The newly launched dataset includes:

• - Subject Attributes: Footage of five male players aged between 20 and 40.
• - Data Size: Approximately 25.228GB.
• - Data Entries: 28 video clips in mp4 format.
• - Shooting Specs: The footage conveys a total shooting time of 2 hours and 5 minutes and includes views from four fixed angles across a basketball court.

This well-rounded dataset also supports various AI applications, serving as a backbone for multiple AI models focusing on sports analytics.

Practical Applications of the Basketball Dataset

The dataset's applicability spans several fields:

• - Tactical Analysis and Formation Recognition: By leveraging visuals captured from varied perspectives, developers can create AI that automatically analyzes team dynamics and formation fluctuations during gameplay.
• - Comparative Study of 3x3 and 5x5 Basketball: The dataset offers insights into different play styles and spatial awareness in team formations, allowing researchers to understand speed dynamics and distance measures between players.
• - Player Movement Classification: The videos permit the development of AI capable of accurately detecting specific athletic movements such as dribbling, shooting, rebounding, and defense.
• - General Action Recognition Research: Besides sporting applications, the dataset can serve as a foundation for broader motion-tracking AI technologies that could extend into diverse fields such as urban flow analysis and multi-agent simulations.
• - Automatic Editing in Broadcasting: Utilizing the fixed-camera footage allows for developing AI systems that can automate highlight compilation and camera-switching operations for broadcasting.
• - Referee Support Systems: AI models can be trained to improve consistency in foul and goal detection decisions, contributing significantly to fair play.
• - Enhancements in VR/AR Experiences: By using the recorded footage, developers can create immersive AR viewing apps or VR training programs to enrich fan engagement and real-time data delivery.
• - Camera Technology Innovations: The dataset assists in improving algorithms for auto-focus and tracking, which are essential for sports cameras and surveillance tech.

Unique Selling Propositions of Qlean Dataset

• - Research and Commercial Use: All Qlean Dataset components come with signed consent from all subjects, ensuring compliance with respective privacy laws across various countries.
• - Efficiency in Data Procurement: By harnessing the structure of the AI Data Recipe, the procurement of datasets is streamlined, reducing upfront investments significantly.
• - Custom Data Creation: If the required dataset is unavailable, the Qlean Dataset team is equipped to develop tailored data according to unique specifications, ensuring high-quality, specialized data solutions.

Support for Academia

In further demonstrating its commitment to fostering AI research, Visual Bank has launched a program offering free dataset access to academic institutions and non-profit technology teams. The initiative encapsulates over 80 different types of data, including images, audio, video, and text—totalling more than 500,000 entries. This gesture aims to address challenges faced in acquiring high-quality, rights-cleared learning data vital for research purposes.

For more information on Qlean Dataset and their academic support program, please visit their official service site.

About Visual Bank

Visual Bank is a pioneering startup dedicated to establishing an innovative data infrastructure for AI development. With the mission to unlock the potential of all data, they also support tools for creators through projects like 'THE PEN’—an AI assistance tool for aspiring manga artists. Furthermore, Visual Bank has received national recognition through the GENIAC research and development program, propelling its initiatives in societal implementation.

For further inquiries, you can visit their websites at Visual Bank and Amana Images.