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The International Affective Picture System (IAPS) is a database of pictures designed to provide a standardized set of pictures for studying emotion and attention [1] that has been widely used in psychological research. [2]
AP Images; Bridgeman Art Library: California Digital Library: California State University, Northridge, Oviatt Library Digital Collections Camera Press: Chicago Daily News (1902–1933), collection of over 55,000 images on glass plate negatives Corbis Images: Depositphotos: Stock Images: 164,000,000+ (June 2020) Yes No Yes English (Default)+ 21 ...
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words.
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3]
Bing.com – Has an Advanced Image Search that offers images in different resolutions and also categorizes images. Allows free querying of the bing Image Search API up to a certain limit per day. Everystockphoto.com – Searching over 4.3 million public domain and creative commons photos including Wikipedia and NASA. Free user accounts with ...
Image credits: TheNameIsPippen With the help of the History Channel’s database and similar archives, people now can go back to nearly any day within the last several decades. Take January 14th ...
Prompted by a complaint from a dog bite victim, the San Diego County grand jury has recommended the county improve collection of dog bite data and start a database. A database of dangerous dogs.
Reverse image search using Google Images. Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful.