rcfg/FashionBLIP-1

Fine-Tuned BLIP Model for Fashion Image Captioning

This is a fine-tuned BLIP (Bootstrapped Language-Image Pretraining) model specifically designed for fashion image captioning. It was fine-tuned on the Marqo Fashion Dataset to generate descriptive and contextually relevant captions for fashion-related images.

Model Details

• Model Type: BLIP (Vision-Language Pretraining)
• Architecture: BLIP uses a multimodal transformer architecture to jointly model visual and textual information.
• Fine-Tuning Dataset: Marqo Fashion Dataset (a dataset containing fashion images and corresponding captions)
• Task: Fashion Image Captioning
• License: Apache 2.0

Usage

You can use this model with the Hugging Face transformers library for fashion image captioning tasks.

Installation

First, install the required libraries:

pip install transformers torch