Image Captioning using Deep Learning Models

This project focuses on generating descriptive captions for images using advanced deep learning techniques. The goal is to automatically generate meaningful and accurate textual descriptions for given images.

Features

• Automatic generation of captions for images using a deep learning model.
• Integration of convolutional neural networks (CNNs) for feature extraction and recurrent neural networks (RNNs) for sequence generation.
• Capable of understanding and describing complex scenes and objects.
• Supports multiple languages and customization options for specific domains.

Installation

To set up the image captioning project on your local machine, follow these steps:

1. Clone the Repository

   git clone https://github.com/username/image-captioning.git
   cd image-captioning

2. Set Up Virtual Environment (Optional but Recommended)

   python3 -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install Required Packages

   pip install -r requirements.txt

Usage

To generate captions for an image, provide the image file and run the captioning script:

python image_captioning.py --input  --output