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

Visual Bank Expands Qlean Dataset with New Vehicle Images

Visual Bank Inc., a startup based in Minato, Tokyo, under the leadership of CEO Masayuki Nagai, is advancing its AI training data solutions with the launch of the new "Qlean Dataset." This comprehensive dataset is tailored to meet the demands of AI research and commercial applications. Recently, they have added a collection of images featuring a variety of vehicles, further enriching their extensive offerings of AI data recipes.

Overview of Qlean Dataset

Content of the Vehicle Image Dataset

The newly introduced dataset includes high-resolution image data of various vehicles such as cars, buses, taxis, patrol cars, ambulances, motorcycles, and bicycles. With a total of 437 images, each with a resolution exceeding 4,100 pixels on the long side, this dataset is poised to be a valuable asset for AI developers.

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Diverse Applications of Vehicle Image Data

The diverse array of vehicle images enables multiple use cases:

1. Vehicle Detection and Identification AI Development

The dataset's variety in vehicle types and body shapes makes it an ideal training ground for vehicle identification AI. This data can be utilized in traffic surveillance, autonomous driving technologies, and urban infrastructure analysis.

2. Traffic Flow Analysis and Smart City AI Research

By employing real-world photographs of various vehicles, developers can enhance AI learning for traffic volume estimation and congestion detection. This aspect is vital for optimizing public transport and constructing a digital twin of urban environments in smart city initiatives.

3. Support for Generative AI and Design Applications

With its high-resolution and diverse compositions of vehicles, the dataset can serve as training data for generative AI in vehicle design and landscape simulations. The potential applications in creative fields such as vehicle design considerations and advertising are significant.

4. Development for Autonomous Mobility Simulations

The dataset's diverse range of vehicles allows for the training of autonomous driving technologies and the evaluation of object detection algorithms in real road conditions. This makes it especially suitable for multi-class recognition model assessments in various environments.

5. Research on Traffic Safety and Social Infrastructure

Including images of emergency vehicles like fire engines, ambulances, and police cars makes this dataset useful for developing recognition AI for emergency vehicle operations and vehicle approach warning systems. This versatility supports research in traffic infrastructure and safety enhancement.

Unique Features of Qlean Dataset

The Qlean Dataset is structured to support both research and commercial uses reliably:
1. Research-Friendly Data Acquisition: Visual Bank ensures that all necessary consents for the use of data are obtained from subjects, complying with privacy policies across jurisdictions, making it safe for research and commercial applications.
2. Maximized ROI through AI Data Recipe: By utilizing the unique AI Data Recipe structure, clients can acquire data with minimized initial investment, driving efficiency.
3. Customizable Datasets on Demand: If specific datasets are unavailable within AI Data Recipe, Qlean Dataset can create customized datasets tailored to individual requirements, leveraging its high-capability system to deliver optimized data.

Support for Academia

As part of its commitment to academia, Visual Bank has launched a program offering free datasets for universities, research institutions, and nonprofit tech development teams. This program includes over 500,000 data points in various formats, addressing the need for high-quality, rights-cleared training data. For more information, visit Qlean Dataset Academia Program.

About Visual Bank

Founded with the mission of unleashing the potential of data, Visual Bank is building next-generation data infrastructure to maximize AI development capabilities. Their offerings include tools like "THE PEN," which supports manga artists, and the dedicated AI learning data services offered through their subsidiary, Amana Images. Visual Bank is also recognized by the national research and development program GENIAC, further accelerating their contributions to societal implementations.

For more details on Visual Bank and Amana Images, visit: Visual Bank and Amana Images.