#Japan #Shibuya #PIXTA #AI Dataset #Bear Video

PIXTA Launches New Bear Video Dataset

In response to strong demand from municipalities and companies, PIXTA Inc., based in Shibuya, Tokyo, has just introduced its much-anticipated Bear Video Dataset, expanding its service offering for machine learning datasets. Building on the success of last year’s Bear Image Dataset, this new video dataset aims to meet the needs of developers who seek to analyze bear behavior patterns using video footage rather than still images. Given the increasing incidents of human-bear encounters, this launch comes at a crucial time to aid in the development of advanced motion detection and behavior analysis AI technologies.

Overview of the Bear Video Dataset

• - Dataset Name: Bear Video Dataset
• - Number of Videos: 50
• - Price: 99,000 JPY (tax included)

Note: Annotation services are available for an additional fee.

• - Shooting Locations: Various outdoor environments, both domestic and international
• - Composition: Various angles featuring one or multiple bears
• - Duration: Each video lasts between approximately 5 to 50 seconds
• - Contents: The videos capture a wide range of bear species, ages, and body sizes in diverse outdoor settings.

Format: mp4. All videos are actual footage with varied behaviors, poses, backgrounds, and shooting conditions.

Key Features

• - Suitable for commercial use
• - Permissions obtained from shooters for machine learning data utilization

Purchase Process

To purchase this dataset, please select your desired data and contact us via the following link: PIXTA Machine Learning Dataset

Potential Uses

This dataset is expected to be particularly valuable for organizations such as AI model developers, research institutions, and municipalities engaged in bear detection, identification, and behavior analysis. The use of video data opens up possibilities for more complex temporal analyses that static images simply cannot provide. Possible applications include:

• - Bear Detection and Warning Systems: The dataset can be utilized as training data for AI models designed to automatically detect bears from surveillance camera footage. Using video data enables the development and validation of detection algorithms that can analyze continuous frames.
• - Monitoring Systems for Local Disaster Prevention: Video footage can assist in establishing early warning systems to detect bear appearances by collaborating with surveillance and monitoring cameras, analyzing bear movement, speed, and proximity.
• - Behavior Analysis and Recognition Models: Footage showing various bear behaviors, like walking or foraging, can serve as foundational data for developing behavior recognition models and analysis research.
• - Fundamental Data for Animal Detection AI: This dataset can be leveraged by researchers in the computer vision field for tasks such as object detection, tracking, and pose estimation.

Background and Rationale

Last year, the release of the Bear Image Dataset by PIXTA elicited significant feedback from various sectors, including AI development companies and local governments. Many expressed a strong desire for video data to enhance detection accuracy and conduct real-world testing
during AI model development.

This demand stems from escalating encounters with bears across the country. The Ministry of the Environment has predicted that the number of bear sightings could reach 49,916 cases by 2025, more than double the previous year's count of 20,513 incidents. Furthermore, reports indicate that 13 fatal bear-related incidents have occurred as of the end of February this year. These alarming statistics underscore the urgency to mitigate human-bear conflicts.

The government has subsequently developed a comprehensive “Bear Damage Countermeasure Package,” which aims to not only strengthen capture strategies but also employ digital technologies for collecting and sharing sighting data. This approach aligns well with the need for innovative solutions in wildlife monitoring and behavior tracking.

In response to these societal needs and market demands, PIXTA has created this Bear Video Dataset featuring a variety of bears in different poses and environments. We hope this data will significantly contribute to the AI model development and research focused on bear detection, identification, and behavior prediction.

About PIXTA's Machine Learning Dataset Services

PIXTA's Machine Learning Dataset Services, leveraging its vast stock photo network, provides over 100 million commercial-use images, videos, and audio data tailored for machine learning applications. Our highly skilled annotation team ensures that AI developers can efficiently gather the necessary data for projects ranging from image recognition AI to object detection tenets.

In cases where stock data does not meet requirements, we also offer new photography services tailored to specific needs. Drawing on 20 years of experience, we can capture exactly the kind of data needed for successful AI training.

For additional information on the Bear Video Dataset and PIXTA's Machine Learning services, please visit our official site: PIXTA.