a simple Image Caption Generator model using TensorFlow and Keras This repository contains the code for an Image Caption Generator, an AI-based project that uses deep learning techniques to automatically generate captions for images. The model architecture consists of a pre-trained VGG16 Convolutional Neural Network (CNN) for feature extraction from images, and an LSTM-based Recurrent Neural Network (RNN) for generating captions based on the extracted features.
The code is implemented using TensorFlow and Keras, and it can be easily extended to work with different datasets, such as the COCO dataset or Flickr8k dataset.
Key Features:
Pre-trained VGG16 model for efficient feature extraction LSTM-based RNN for caption generation Customizable model architecture and hyperparameters Compatible with various image-caption datasets Simple and easy-to-understand code To use this code, preprocess your dataset (images and captions), split it into training and validation sets, and train the model using the provided code. You can adjust the hyperparameters and model architecture as needed to improve the performance of your Image Caption Generator.
I will update this as we go