#Qlean Dataset #Visual Bank #Japanese Women

Launch of Qlean Dataset: Focus on Japanese Women's Hands and Nails

Visual Bank, a startup based in Shibuya, Tokyo, has recently unveiled a new addition to its Qlean Dataset – a comprehensive collection of images featuring the hands and nails of Japanese women. This expansion aims to facilitate AI development by providing researchers and companies with high-quality images suitable for a range of applications in AI training and commercial use.

Overview of the Qlean Dataset

The Qlean Dataset, available through Amana Images, a subsidiary of Visual Bank, is designed to support various research and commercial AI initiatives. This latest dataset consists of images collected from 50 Japanese women across different age groups—20 women from their teens to twenties, 20 from their thirties to forties, and 10 women over fifty. The total data size is 325MB, encompassing 200 images in JPEG format, all of which can be accessed through the Qlean Dataset’s service website.

For more information and sample details, visit Sample Details.

Versatile Applications of the New Dataset

The dataset can be utilized in various fields, such as:

1. Biometric Authentication AI Development

The unique characteristics of hands and nails can be integrated into biometric authentication systems. This innovative approach complements conventional fingerprint and palmprint recognition by offering new features like finger length and nail shape, enhancing the accuracy of identity verification methods implemented through devices with built-in sensors or surveillance cameras.

2. Medical AI Research

There is a well-documented correlation between hand and nail appearance and health indicators such as anemia, circulatory issues, and nutritional deficiencies. This dataset can serve as a basis for developing health assessment models and AI that assists with remote diagnostics.

3. Beauty and Cosmetic AI Usage

With images representing a range of ages, this dataset is ideal for training AI that generates automatic nail designs or assesses skin and nail conditions. Potential applications include AI for beauty salon consultations or virtual try-on simulations for nail colors and accessories on e-commerce platforms.

4. Age Estimation and Attribute Classification AI

Featuring a diverse range of subjects, the dataset can be leveraged to verify the accuracy of age estimation and attribute classification models. It allows researchers to develop systems that assess age based on hand appearance, contributing to user behavior analysis efforts.

5. Foundation for Object Detection and Image Recognition Models

The multi-angle images of hands and nails support training in fundamental image recognition areas such as object detection, segmentation, and pose estimation. This can significantly enhance VR and AR applications by improving avatar interaction and gesture recognition, as well as UI operations through wearable devices.

6. Robotics Applications

The dataset aids in human-machine collaboration by supporting hand pose estimation and object grasping tasks, improving the understanding of complex human actions in robotic systems.

Advantages of the Qlean Dataset

Visual Bank’s Qlean Dataset is not only suited for academic purposes but also fully compliant with privacy policies in multiple countries, making it safe for research and commercial utilization. By utilizing the unique