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

Visual Bank Unveils New Dataset for AI Applications

Visual Bank, located in Shibuya, Tokyo, spearheaded by CEO Masayuki Nagai, is advancing its Qlean Dataset initiative, specifically through the efforts of its subsidiary, Amana Images. This recent launch includes the Japanese License Plate Image Dataset, which is tailored for various research and commercial AI development needs. This addition enhances the already comprehensive data options under the Data Recipe lineup, a carefully curated selection for AI training and utilization.

Overview of Qlean Dataset

The Data Recipe is a collection of original datasets available for commercial use within the Qlean Dataset framework. One of its key strengths lies in its flexibility, allowing users to combine data materials according to specific accuracy, purposes, and delivery schedules. This versatility includes options for both annotated and unannotated data, as well as the capacity for customization based on particular client requirements.

Partnerships with organizations like the Chiba Lotte Marines and Toyo Keizai Inc., along with a growing network both domestically and internationally, have played a crucial role in expanding the Qlean Dataset offerings. This strategic development significantly eases the data collection burden for AI developers, consequently fast-tracking their development processes.

About the Japanese License Plate Image Dataset

The newly introduced Japanese License Plate Image Dataset consists of essential data such as:

• - Data Included: Images featuring region-specific license plates from Japan.
• - Camera Angles: Captured from frontal, right diagonal, and left diagonal perspectives.
• - Equipment Used: Smartphones released between 2020 and 2025.
• - Data Format: JPEG.
• - Total Files: 12,000 images.

While the preview images released have altered number plates for privacy, the delivered data will be in unedited format.

Use Cases for the License Plate Dataset

This dataset is poised for numerous applications, including:
1. Parking Management AI: For systems capable of detecting vehicle entries and exits in real-time, useful in residential areas and multi-story parking facilities.
2. Traffic Monitoring AI: Ideal for automatic vehicle detection, traffic volume analysis, and identification of violators during various times and angles.
3. Security AI for Entrances: Enhancing vehicle authentication systems in high-security areas like factories and airports, even under challenging conditions like tilt, partial obstructions, or glare.
4. Smart Surveillance Solutions: The dataset aids in evaluating the effectiveness and accuracy of AI surveillance cameras in urban environments.
5. Crime Prevention AI: Contains images captured during difficult lighting conditions to assist in identifying suspicious vehicles during investigations.

Unique Features of Qlean Dataset

• - Compliance and Security: All datasets align with applicable privacy policies, as Visual Bank ensures consent from subjects for use in AI development.
• - Rapid and Efficient Data Acquisition: Leveraging the Data Recipe structure, clients can minimize initial investments while maximizing their ROI.
• - Customization Options: Should a specific dataset be unavailable, unique data tailored to distinct needs can also be created using Qlean Dataset’s capabilities.

For more information, please visit the official site: Qlean Dataset

Upcoming Seminar: AI and Copyright Risks

Visual Bank will host a free online seminar on generating AI and its copyright implications on August 20, 2025. Legal experts and dataset managers will discuss legal responsibilities in AI development, making it a valuable session for anyone interested in the ethical data sourcing and utilization in AI. Interested attendees can register here.

About Visual Bank

Nagai Masayuki leads Visual Bank, a pioneering startup focused on constructing next-generation data infrastructure aimed at unlocking the full potential of data. The company not only develops AI applications through its subsidiary Amana Images but continues to innovate in the framework of Qlean Dataset. Parallel advancements in various data-related services are also ongoing.

Learn more about Visual Bank: Visual Bank Official Site

Explore Amana Images: Amana Images Overview