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project_vqa's Introduction

Project_VQA

Topic : Medical Visual Question Answering

DataSet Used - Slake (A MVQA Dataset)

Question feature extraction using Glove

Image Feature exraction using CNN

Question classified with respec to Open/Closed and Content type [Content type - "Modality","Position","Organ","Size","Abnormality","Quantity","Plane","Shape","Color"]

Both Feature fused and passed through dense layers to find answer.

Setup

Clone Repo Dataset should be downloaded manually[path Dataset/Slake]. Glove should be downloaded into Glove directory.

To train model,run

test_close.py
test_open.py

To check validity,run

test_close_valid.py
test_open_valid.py

Some Screenshots


Final Report

Final report can be seen here

project_vqa's People

Contributors

codingneverends avatar lubnaarakkal avatar

Watchers

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