Image Caption Generator

Overview

The Image Caption Generator is a deep learning project that takes an image as input and generates a meaningful caption describing the contents of the image. It is trained on the Flickr8k dataset and utilizes state-of-the-art deep learning techniques to achieve accurate and contextually relevant image captions.

Table of Contents

• Features
• Technologies Used
• Getting Started
• Usage
• Contributing
• License

Features

• Image Captioning: The core feature of the project is its ability to generate descriptive captions for input images.
• Deep Learning: Utilizes a deep learning model (e.g., CNN-LSTM) to extract image features and generate captions.
• Flickr8k Dataset: Trained on the widely used Flickr8k dataset, which contains a diverse range of images and corresponding captions.
• Python: The project is implemented using the Python programming language.
• User-Friendly: Provides a straightforward and user-friendly interface for generating captions for images.

Technologies Used

• Deep Learning: The project relies on deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for training and inference.
• Python: The primary programming language for implementing the project.
• Flickr8k Dataset: The dataset used for training and evaluation.
• OpenCV: Used for image preprocessing and handling.
• Natural Language Processing (NLP): Utilizes NLP techniques to generate coherent and contextually relevant captions.

Getting Started

To run the Image Caption Generator project on your local machine, follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/mdainainahmed/Image-Caption-Generator.git

2. Go through the code and download files from given links.

Usage

1. Provide an image as input to the Image Caption Generator.

2. The model will analyze the image and generate a descriptive caption.

3. The generated caption can be displayed alongside the image.

4. Users can experiment with different images to see how well the model generates captions.

Contributing

Contributions to the Image Caption Generator project are welcome! If you'd like to contribute, please follow these guidelines:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Make your changes and test thoroughly.

4. Ensure your code follows best practices and coding conventions.

5. Create a pull request with a clear description of your changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.