This technique is a combination of two powerful machine learning algorithms:
– convolutional neural networks are excellent at image classification, i.e., finding out what is seen on an input image,
– recurrent neural networks that are capable of processing a sequence of inputs and outputs, therefore it can create sentences of what is seen on the image.
Combining these two techniques makes it possible for a computer to describe in a sentence what is seen on an input image.
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The paper “Deep Visual-Semantic Alignments for Generating Image Descriptions” is available here:
A gallery with more results with the same algorithm:
You can train your own convolutional neural network here:
The source code for the project is now available here:
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Splash screen/thumbnail design: Felícia Fehér –
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