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10+ million images in 400+ scene classes, with 5000 to 30,000 images per class. 10,000,000 image, label 2018 [5] Zhou et al Ego 4D A massive-scale, egocentric dataset and benchmark suite collected across 74 worldwide locations and 9 countries, with over 3,670 hours of daily-life activity video. Object bounding boxes, transcriptions, labeling.
A computer screen showing a background wallpaper photo of the Palace of Versailles. A wallpaper or background (also known as a desktop background, desktop picture or desktop image on computers) is a digital image (photo, drawing etc.) used as a decorative background of a graphical user interface on the screen of a computer, smartphone or other electronic device.
Caltech 101 contains a total of 9,146 images, split between 101 distinct object categories (faces, watches, ants, pianos, etc.) and a background category. Provided with the images are a set of annotations describing the outlines of each image, along with a Matlab script for viewing.
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]
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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 ...
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