https://github.com/sebaskhe/image-captioning-ai-app
This project aims to build an Artificial Intelligence tool that analyzes images, generates captions, and creates a text index for them. It focuses on providing practical applications for business scenarios requiring the interpretation of visual content.
https://github.com/sebaskhe/image-captioning-ai-app
Last synced: 5 days ago
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This project aims to build an Artificial Intelligence tool that analyzes images, generates captions, and creates a text index for them. It focuses on providing practical applications for business scenarios requiring the interpretation of visual content.
- Host: GitHub
- URL: https://github.com/sebaskhe/image-captioning-ai-app
- Owner: SebasKHE
- Created: 2024-12-28T14:55:37.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-28T14:57:32.000Z (over 1 year ago)
- Last Synced: 2025-02-22T10:27:16.529Z (over 1 year ago)
- Language: Python
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image Captioning Tool with AI
This project aims to build an Artificial Intelligence tool that analyzes images, generates captions, and creates a text index for them. It focuses on providing practical applications for business scenarios requiring the interpretation of visual content.
---
## 📋 Project Description
In this project, we developed an image captioning tool that:
- **Analyzes images and generates automatic captions** using the [BLIP](https://huggingface.co/Salesforce/blip-image-captioning-base) model from Hugging Face Transformers.
- **Provides an intuitive graphical user interface** powered by the [Gradio](https://gradio.app/) library.
- **Demonstrates real-world business applications**, such as content management, automated tagging, and enhanced accessibility.
---
## 🛠️ Technologies Used
- **Python 3.10+**: The main programming language for development.
- **Hugging Face Transformers**: A library for implementing deep learning models.
- **BLIP (Bootstrapped Language-Image Pretraining)**: The model used for image captioning.
- **Gradio**: A framework for building user-friendly machine learning interfaces.
---
## 🚀 Features
1. **Image Captioning**: Upload an image, and the tool generates a descriptive caption automatically.
2. **Business Applications**: Practical use cases in industries such as e-commerce, media, and accessibility.
3. **User-Friendly Interface**: Simplified interaction with the AI model via Gradio.
---
## 🖥️ How to Run the Project
1. Clone the repository:
```bash
git clone https://github.com/SebasKHE/Image-captioning-app.git
cd Image-captioning-app