Visual Bank's New Skateboarding Dataset
In an exciting development for both researchers and AI developers, Visual Bank Co., Ltd., located in Minato, Tokyo, has expanded its Qlean Dataset offerings with a newly launched Skateboard Video and Image Dataset. This addition aims to support a wide array of AI development initiatives by providing high-quality training data. The dataset is particularly beneficial for projects related to sports science, AI model training, and performance analysis.
Overview of the Skateboarding Dataset
The Skateboard Video and Image Dataset features recorded footage of male skateboarders performing tricks on a half-pipe ramp.
Key Features
- - Content: The dataset consists of images and videos featuring a 14-year-old male Japanese professional skateboarder.
- - Shooting Environment: Footage was captured indoors at a skatepark half-pipe ramp, allowing for optimal lighting and conditions.
- - Angles: Data was collected using six different angles, enabling a comprehensive view of the skateboarder’s movements.
The dataset includes:
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Data Size: 45.58 GB
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Number of Videos: 36
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Format: MP4
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Duration: 15 minutes and 38 seconds
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Data Size: 102.49 GB
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Number of Images: 17,124
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Format: JPEG
Sample Data Links
Use Cases of the Skateboarding Dataset
The versatility of the Skateboard Video and Image Dataset opens the door to several practical applications:
1.
Pose Estimation and Skeleton Recognition Model Development: The dataset is optimal for developing algorithms that analyze mid-air postures and landing techniques, assisting in sports science and motion research.
2.
Trick Identification and Sports Video Analysis AI Development: With a variety of skateboard tricks recorded, this dataset can enhance AI’s ability to automatically identify tricks and analyze performance metrics in sports broadcasting.
3.
Scoring and Trick Evaluation AI Development: Official competition footage contained in this dataset is ideal for training AI models for scoring and performance assessment, benefiting both judges and young athletes seeking feedback.
4.
Virtual Skate Experiences and Metaverse Applications: Multi-angle recordings allow for immersive VR/AR development in skateboarding experiences, providing fans with dynamic viewing options.
5.
Research in Robotics for Airborne Balance Control: The intricate movements captured can benefit humanoid or sports robot research, particularly in the areas of balance control and coordinated movements.
Features of Qlean Dataset
Visual Bank's Qlean Dataset offers significant advantages for researchers and developers:
- - Research and Commercial Usage: All data is cleared for research and commercial use, complying with privacy policies across various countries.
- - Quick Access and Maximized ROI: Through the unique 'AI Recipe' model, the Qlean Dataset enables streamlined data procurement with lower initial investments.
- - Customized Data Solutions: For those requiring specialized datasets outside standard offerings, Qlean Dataset provides tailored solutions based on individual requirements.
You can find more about the Qlean Dataset and get in touch via their website:
Qlean Dataset Contact and
Qlean Dataset Services.
Supporting Academia
Visual Bank also announced a program to support academia by offering this dataset free to universities, research institutions, and teams focused on technological development. They aim to combat the challenges faced by research environments in securing high-quality, rights-cleared training data.
Learn more:
Academia Support Program
About Visual Bank
Visual Bank is a pioneering startup committed to creating next-generation data infrastructure aimed at unleashing the potential of all forms of data. Their mission is effectively realized through both the Qlean Dataset and various AI-assisted tools for artists, such as 'THE PEN.' The company, led by CEO Masayuki Nagai, is also recognized under the national research development program 'GENIAC,' signifying its dedication to impactful innovation.
For further inquiries:
- - Location: Minato, Tokyo, Aoyama 7-1-7 C-Cube Aoyama 6F
- - Visual Bank Company URL: Visual Bank
- - Amana Images URL: Amana Images