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Wolfram Language Image Identification Project launched an Image Identify site demo which returns the top predicted tags for the photos.

How does it work, briefly? I mean what type of learning vision technologies are used to analyze, recognize and understand the content of an image?

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    $\begingroup$ It doesn't work properly for all Image. I inserted a picture of a nuclear explosion then this showed up $\endgroup$ – Vishnu JK Aug 19 '16 at 16:51
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    $\begingroup$ And also this image , its actually a world map $\endgroup$ – Vishnu JK Aug 19 '16 at 17:00
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The ImageIdentify project uses the highly automated "superfunctions" and as part of Wolfram Language API integration. It relies on a complex collection of meta-algorithms and built-in 'knowledge'. It has a built-in classifier trained from a large dataset using Wolfram Data Framework (WDF). However the main classifier is based on the deep neural networks.

Source: How the Wolfram Language Image Identification Project Works

The algorithm isn't perfect and misidentification are more likely to be caused by 'irrelevant objects repeatedly being in training images for a particular type of object'.

You can read more at Wolfram Language Artificial Intelligence: The Image Identification Project.

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