Qlean Dataset Launches 'Japanese Children Video Dataset in Diverse Scenes'
Visual Bank Inc. has released a new video dataset capturing Japanese children in diverse daily life scenarios through its Qlean Dataset service. It aims to improve AI models for edge AI monitoring, pose estimation, and autonomous driving.
📋 Article Processing Timeline
- 📰 Published: April 7, 2026 at 22:16
- 🔍 Collected: April 7, 2026 at 14:00
- 🤖 AI Analyzed: April 20, 2026 at 21:30 (319h 29m after Collected)
Visual Bank Inc. (Minato-ku, Tokyo, Representative Director and CEO: Masayuki Nagai) announces the launch of the 'Japanese Children Video Dataset in Diverse Scenes', optimized for children's behavior detection and the training of advanced video analysis and multimodal models in Japanese domestic living environments, within its AI training data solution 'Qlean Dataset' developed through its subsidiary Amana Images Inc.
This dataset was constructed to reflect the diverse contexts of domestic daily life in the research and development of edge AI monitoring technologies and computer vision (CV). It records Japanese elementary school children and infants behaving naturally in real-world scenarios, such as studying and eating at home, activities at school and parks, and leisure at the beach. By combining fixed-point observation, close-up shots that get physically close to the subject, and tracking shots that follow movement, it provides visual information capturing a single action from multiple perspectives.
The recorded content abundantly includes dynamic sequences of play, movement, and exercise within specific spaces native to Japan, such as houses, public facilities, and inside cars. This makes it a composition suitable for improving the accuracy of object recognition and segmentation in complex environments where separation from the background is difficult, as well as skeletal estimation models based on children's specific physiques and dynamics. Furthermore, because additional recording via custom model assignment is possible, it flexibly accommodates deep customization needs in the edge AI and robotics fields, such as narrowing down to specific age groups or expanding situations to designated facility environments.
This data is provided as one of the 'AI Data Recipes', a lineup of original data for AI development offered by Qlean Dataset, strongly backing AI projects aiming for social implementation—from the deployment of next-generation monitoring solutions to in-cabin sensing in autonomous driving and motion generation for AR/VR content. Visual Bank and Amana Images will continue to support the research and development of AI that accurately understands and analyzes human behavior by providing structured data capturing a wide variety of scenes in Japan.
## Overview of the 'Japanese Children Video Dataset in Diverse Scenes' newly provided
- Data Type: Video
- Subject Attributes: Japanese, Mixed Heritage (Elementary school children, infants, male and female)
This dataset was constructed to reflect the diverse contexts of domestic daily life in the research and development of edge AI monitoring technologies and computer vision (CV). It records Japanese elementary school children and infants behaving naturally in real-world scenarios, such as studying and eating at home, activities at school and parks, and leisure at the beach. By combining fixed-point observation, close-up shots that get physically close to the subject, and tracking shots that follow movement, it provides visual information capturing a single action from multiple perspectives.
The recorded content abundantly includes dynamic sequences of play, movement, and exercise within specific spaces native to Japan, such as houses, public facilities, and inside cars. This makes it a composition suitable for improving the accuracy of object recognition and segmentation in complex environments where separation from the background is difficult, as well as skeletal estimation models based on children's specific physiques and dynamics. Furthermore, because additional recording via custom model assignment is possible, it flexibly accommodates deep customization needs in the edge AI and robotics fields, such as narrowing down to specific age groups or expanding situations to designated facility environments.
This data is provided as one of the 'AI Data Recipes', a lineup of original data for AI development offered by Qlean Dataset, strongly backing AI projects aiming for social implementation—from the deployment of next-generation monitoring solutions to in-cabin sensing in autonomous driving and motion generation for AR/VR content. Visual Bank and Amana Images will continue to support the research and development of AI that accurately understands and analyzes human behavior by providing structured data capturing a wide variety of scenes in Japan.
## Overview of the 'Japanese Children Video Dataset in Diverse Scenes' newly provided
- Data Type: Video
- Subject Attributes: Japanese, Mixed Heritage (Elementary school children, infants, male and female)