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Image Captioning with LSTM and CNN

Overview

This project implements an image captioning model using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. The model generates descriptive captions for images, trained on a dataset of 8,000 images.

Features

  • Image Feature Extraction: Utilizes CNN (VGG16) for extracting features from images.
  • Caption Generation: Employs LSTM to generate textual descriptions based on the extracted image features.
  • Dataset: Trained on a diverse dataset of 8,000 images.