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

Introduction

The rise of artificial intelligence (AI) necessitates robust data solutions for various applications across numerous fields. In this regard, Visual Bank Inc. has made significant strides with their new offering— the Qlean Dataset through its subsidiary, Amana Images. This dataset is designed to support AI research and commercial development, and it recently expanded its offerings to include a Multi-industry Video Dataset.

Overview of Qlean Dataset

The Qlean Dataset is positioned as a versatile data solution catering to the needs of AI development and research. With its original dataset options tailored for commercial use, the designed structure allows users to flexibly combine data based on usage requirements, accuracy, and deadlines. The dataset also includes a range of annotated and unannotated data, and custom configurations to meet specific project needs.

Visual Bank’s partnerships with various organizations, including the Chiba Lotte Marines and Toyo Keizai Inc., enhance its network for data richness. This collaboration is instrumental in enriching the dataset's variety, significantly reducing the burden of data collection and preparation for AI development teams.

Details of the Multi-industry Video Dataset

The Multi-Industry Video Dataset contains a wealth of video data depicting individuals in various scenarios, providing a resource ideal for developing AI focused on behavioral recognition and scene understanding. The specifics of the dataset include:

• - File Formats: Available in mov and mp4 formats.
• - Data Count: Approximately 10,000 individual video files.
• - Total Data Size: Roughly 4TB, equating to approximately 350 minutes of footage.
• - Average Duration per File: Ranges from 5 to 20 seconds.

Sample details can be found here.

Use Cases of the Multi-industry Video Dataset

1. Action Recognition and Scene Understanding: The dataset's rich content across diverse environments—including offices, restaurants, homes, and outdoor settings—allows for comprehensive training of AI to recognize everyday actions such as standing, sitting, walking, and conversing. This provides foundational data for behavioral classification and anomaly detection, applicable in various fields like smart city applications, security, and retail analysis.

2. Emotion and Facial Expression Analysis: It incorporates numerous scenes where emotions are expressed, making it an invaluable training resource for AI models that estimate emotions through facial expressions and gestures. This is especially useful in areas like customer service, remote interviews, and advertising impact analysis.

3. Business Process Analysis and Flow Monitoring: By encompassing a wide range of action data, this dataset provides insights into workplace processes in factories, offices, and retail environments, facilitating the development of safety management AI. Insight gained through posture, workflow, and procedural analysis enhances operational efficiency and risk detection.

4. Human-Computer Interaction Research: The dataset captures interactions involving tablets, smartphones, and person-to-person communications, aiding research aimed at understanding natural interactions between humans and machines or humans and humans.

5. Training for Generative AI and Video Synthesis Models: Its diverse assembly of characters, backgrounds, and lighting conditions makes it an ideal training ground for generative AI, particularly for generating character motion, video completion, and simulation studies, supporting the development of new expression models.

Characteristics of the Qlean Dataset

The Qlean Dataset allows for safe commercial use and research as it ensures compliance with privacy policies across various jurisdictions by obtaining consent from all subjects involved in the dataset.

By utilizing the unique AI Data Recipe model, users can procure data rapidly while maximizing ROI, easing initial investment costs.

Furthermore, for datasets not available in the AI Data Recipe, customization based on specific needs can be accomplished using Qlean Dataset's capabilities, ensuring personalized and efficient data solutions. Potential users and clients can contact Qlean Dataset here and access the service site here.

Academic Support Initiatives

Visual Bank is committed to supporting academia by offering a free data provision program designed for universities, research institutions, and nonprofit tech development teams. This initiative makes available over 500,000 high-quality, rights-cleared datasets across 80 formats, addressing common challenges faced in securing proper training data for research. The program, part of the GENIAC initiative, outlines Visual Bank’s commitment to fostering high-quality research collaborations. More details are accessible here.

About Visual Bank Inc.

As a startup dedicated to building and delivering next-generation data infrastructures to maximize AI development capabilities, Visual Bank’s mission is to ‘unlock the potential of all data.’ Their suite of services includes the THE PEN tool, which helps artists enhance their creative work, in addition to offering the Qlean Dataset housing capabilities under the Amana Images subsidiary.

Visual Bank, represented by CEO Masayuki Nagai, is prominently engaged in propelling initiatives toward societal implementation, having been selected for national R&D programs in Japan.

Contact Information

• - CEO: Masayuki Nagai
• - Address: 6F C-Cube Minato Aoyama Building, 7-1-7 Minato, Tokyo, Japan 107-0062
• - Visual Bank Website: https://visual-bank.co.jp/
• - Amana Images Website: https://amanaimages.com/about/