Image Captioning Using CNN and LSTM

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

• Computer Vision techniques to understand the content of the image.
• A Language Model from the field of Natural Language Processing (NLP) to turn the understanding into words in the correct order.

Recently, deep learning methods have achieved state-of-the-art results in caption generation problems. The most impressive part of these methods is that a single end-to-end model can predict a caption for a given photo without requiring sophisticated data preparation or multiple specifically designed models.

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Dataset

• Flickr 8k: Download from Kaggle
• Description File: Flickr8k Text

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Model Architecture

Model Diagram

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Training Diagram

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Final Results

Successful Examples

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Failure Examples

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Image-Captioning-Using-CNN-and-LSTM

This repository implements a deep learning approach combining CNN and LSTM for generating image captions. The method leverages both visual and textual data to provide accurate, context-aware captions for images.