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image-captioning-'s Introduction

Image-Captioning-System

Image Captioning Appplication Using CNN-LSTM and Flask server.

Description:

Caption generation is a challenging artificial intelligence problem where a textual description must be generated for a given photograph.

It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. Recently, deep learning methods have achieved state-of-the-art results on examples of this problem.

Deep learning methods have demonstrated state-of-the-art results on caption generation problems. What is most impressive about these methods is a single end-to-end model can be defined to predict a caption, given a photo, instead of requiring sophisticated data preparation or a pipeline of specifically designed models.

Dataset: Flickr 8k : https://www.kaggle.com/adityajn105/flickr8k

Description: https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_text.zip

Methodology:

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download

Final Output Results:

download download

Live Link:

link: http://juyal.pythonanywhere.com/

User Interface:

User Interface

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