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Natural Image Database and Its Use For Scene Illuminant Estimation Shoji Ojinaga Department of Engineering Informatics, Osaka Electro-Communication University Niagara, Osaka 572-8530, Japan Phone:
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Natural image database refers to a collection of images that are representative of natural scenes or objects. These databases are often used for tasks such as image analysis, computer vision, and machine learning.
There is no specific requirement to file a natural image database. However, researchers, organizations, or individuals working in the field of computer vision or image analysis may create and maintain their own natural image databases for research purposes.
Filling out a natural image database typically involves curating a collection of images and providing relevant metadata or annotations. The specific procedure may vary depending on the purpose and requirements of the database.
The purpose of a natural image database is to provide a standardized and diverse set of images for various research and practical applications. These databases enable researchers, developers, and practitioners to test and evaluate algorithms, models, and systems related to computer vision and image processing.
The information reported on a natural image database can vary depending on the specific requirements and goals of the database. However, common information reported may include image labels, annotations, descriptions, image source or origin, licensing information, and any additional metadata deemed relevant.
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