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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]
Free user accounts with drag and drop collections, and other features. Google Image Search – Advanced search can search for free licensed or PD works. By default, Google does not filter based on license. Add the following (without quotes) to your search URL to display only images with licensing appropriate for Wikipedia: "&tbs=sur:fmc"
Converting the image from GIF to JPEG; Renaming the image to "Image:StetsonHatFortHoodArmy.jpg" Uploading it as Image:StetsonHatFortHoodArmy.jpg. Free images can also be uploaded to the Commons, so that they are available for all Wikipedia projects. See Commons:First steps for details; Adding the image to Stetson ~Done~
Inline linking (also known as hotlinking, piggy-backing, direct linking, offsite image grabs, bandwidth theft, [1] and leeching) is the use of a linked object, often an image, on one site by a web page belonging to a second site. One site is said to have an inline link to the other site where the object is located.
In this example, the image data is encoded with utf8 and hence the image data can broken into multiple lines for easy reading. Single quote has to be used in the SVG data as double quote is used for encapsulating the image source. A favicon can also be made with utf8 encoding and SVG data which has to appear in the 'head' section of the HTML:
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TinEye does not recognize outlines of objects or perform facial recognition, but recognizes the entire image, and some altered versions of that image. This includes smaller, larger, and cropped versions of the image. TinEye has shown itself capable of retrieving different images from its database of the same subject, such as famous landmarks. [9]
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