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BLIP-Image-Captioning

🧠✨ BLIP Transformer-Based Image Captioning πŸ”πŸ–ΌοΈ

A powerful and elegant image captioning system built with the cutting-edge BLIP (Bootstrapping Language-Image Pretraining) and Vision Transformers (ViT) β€” enabling machines to "see" and describe images just like a human would!

BLIP Model Image credit: Salesforce Research


πŸš€ Features

βœ… Generates natural language captions for any image
βœ… Leverages Vision Transformers for accurate scene understanding
βœ… Built with Hugging Face Transformers, PyTorch, and BLIP
βœ… Supports real-time or batch image captioning
βœ… Easily extensible for Visual Question Answering or multimodal reasoning


πŸ–ΌοΈ Demo

Demo Input

πŸ“¦ Installation

git clone https://github.com/yourusername/blip-image-captioning.git
cd blip-image-captioning
pip install -r requirements.txt


🧠 Model Info
BLIP: A vision-language pretraining framework by Salesforce Research.

Architecture: Uses Vision Transformers (ViT) for image encoding and Transformer decoders for text generation.

Pretrained Models: Downloaded via Hugging Face.