visual-question-answering-for-fashion-context license:apache-2.0 region:us
---
tags:
- visual-question-answering-for-fashion-context
license: apache-2.0
widget:
- text: "Testing.."
  src: "figure"
- text: "Testing again.."
  src: "new figure"
---

# This is a simple VQA system using Hugging Face, PyTorch and Vision-and-Language Transformer (ViLT)
-------------

In this repository we created a simple VQA system capable of recognize spatial and context information of fashion images (e.g. clothes color and details). 

The project was based in this paper **FashionVQA: A Domain-Specific Visual Question Answering System** [[1]](#1).





## References
<a id="1">[1]</a> 
Min Wang and Ata Mahjoubfar and Anupama Joshi, 2022
FashionVQA: A Domain-Specific Visual Question Answering System