Image captioning refers to the process of generating textual description of an image. Implementing both Natural Language Processing and Computer Vision the tool generates captions.

For image detection, we use a Convolutional Neural Network model, while for language detection we implement a Recurrent Neural Network. ​ While CNNs are responsible for generating the right features for the image, the RNN creates a complex language model which converts the said image features into a readable output. The model was trained on 80,000 image-caption pairs, using a simple LSTM and VGGNet.

Deep learning methods have achieved innovative results to address the problems of caption generation. We develop a unified model defining photo captions for a specific image.

Convolutional Neural Network​

Recurrent Neural Network

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