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Introduction to Image Captioning
Image Captioning is the process of using a deep learning model to describe the content of an image. Most captioning architectures use an encoder-decoder framework, where a convolutional neural network (CNN) encodes the visual features of an image, and a recurrent neural network (RNN) decodes the features into a descriptive text sequence.
VQA
Visual Question Answering (VQA) is the process of asking a question about the contents of an image, and outputting an answer. VQA uses similar architectures to image captioning, except that a text input is also encoded into the same vector space as the image input.
Image captioning and VQA are used in a wide array of applications:
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pip install fastdup