Visual Bank Inc. (Minato-ku, Tokyo; Saneyuki Nagai, Representative Director and CEO), through its subsidiary amana images inc., is pleased to announce the release of the "Japanese Student School Life Video Dataset." Part of the "Qlean Dataset" AI training data solution, this dataset is optimized for enhancing the accuracy of Computer Vision (CV), video analysis AI, and the training of multimodal models.

The dataset was specifically constructed to improve human action recognition and attribute estimation within unique Japanese contexts, such as educational facilities, school zones, and public transportation. It captures a diverse range of daily life scenarios involving Japanese students, including classroom lessons, self-study sessions, activities in gymnasiums and libraries, and commuting via trains or public streets. By combining high-angle fixed-camera footage with tracking and close-up shots that follow the subjects' movements, the dataset provides visual information robust enough to handle variations in recognition accuracy caused by different camera angles and perspectives.

The content comprehensively covers natural behaviors and group action patterns of students under Japan-specific conditions, including unique school uniform cultures, the specific color palettes of Japanese school facilities, and various lighting environments. This contributes significantly to the development of segmentation models capable of isolating figures in complex backgrounds, as well as skeleton estimation and action detection models based on the specific kinetics of younger demographics.

This release is provided as part of the "AI Data Recipe"—Qlean Dataset’s lineup of original data for AI development—and can be flexibly customized through additional recording or situational expansion to meet specific client needs. From Education DX and next-generation monitoring solutions to the implementation of advanced analysis algorithms in public spaces, Visual Bank supports AI projects that accurately understand and analyze human behavior through structured data capturing the diverse scenes of Japan.

Dataset Specifications: "Japanese Student School Life Video Dataset"

Use Case Scenarios

【Research & Development】 

• Validation of Action Recognition Models in Japan-Specific Segments

  Evaluate the accuracy of action extraction and pose estimation algorithms for younger demographics within the specific layouts and lighting conditions of Japanese school facilities.

【Industrial Applications】 

• Development of Safety Monitoring Systems for Education and Public Spaces

  Serve as training data for AI models designed to detect falls in classrooms or hallways, abnormal movements during club activities, or suspicious behavior on public transport, supporting the social implementation of security and safety products.

【Practical Implementation】 

• Performance Evaluation for Edge AI Devices 

  Utilize a mix of fixed and mobile footage to conduct load testing for real-time analysis on wearable or facility-mounted cameras, and to verify robustness against environmental changes.

About Qlean Dataset

Qlean Dataset is a commercially cleared AI training data solution provided by Amana Images, a subsidiary of Visual Bank Group. The platform offers diverse data formats including image, video, audio, 3D, and text, as well as a specialized AI Data Recipe lineup developed through collaborations with major media organizations and data rights holders.
URL:https://qleandataset.visual-bank.co.jp/en
URL:https://qleandataset.visual-bank.co.jp/en/products/japanese-language-corpora

Contact

About Visual Bank Inc.

Visual Bank Group is a technology company developing data infrastructure and AI solutions that support advanced AI development. The company operates THE PEN, an AI tool for manga creators, and its subsidiary, amanaimages Inc., provides commercial digital content and AI training data solutions, including Qlean Dataset. Visual Bank is also a selected participant in GENIAC, a Japanese government initiative supporting the advancement of next generation AI technologies.

CEO: Saneyuki Nagai
Website:https://visual-bank.co.jp/en