The data set has been taken from the site : https://www.microsoft.com/en-us/download/details.aspx?id=53670. This project is an attempt to implement the approach mentioned in the paper : https://arxiv.org/abs/1603.06059. In this project I have only implemented a retrieval model mentioned in the paper. The extract_images.py script downloads images from the given url of the images in the dataset. clean script.py cleans the images and organizes them. knn2 is the main implmentation, in the project I have used sift to extract features of an image and use them to compares them with another image.
dreamstorm25/Generating-Natural-Questions-from-an-Image
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