Skip to content

aaliyanahmed1/BLIP-Image-Captioning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

8 Commits
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 

Repository files navigation

BLIP-Image-Captioning

๐Ÿง โœจ BLIP Transformer-Based Image Captioning ๐Ÿ”๐Ÿ–ผ๏ธ

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

BLIP Model Image credit: Salesforce Research


๐Ÿš€ Features

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


๐Ÿ–ผ๏ธ Demo

Demo Input

๐Ÿ“ฆ Installation

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


๐Ÿง  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.

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages