Synthetic Feature Datasets for Image Matching

Published: 27 January 2022| Version 2 | DOI: 10.17632/8jx8y9yfn5.2
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Description

Collection of three datasets of synthetic images designed to train image matching models. The first two datasets, called patch dataset and mosaic images dataset, are for training feature detection models (first matching step). The third dataset, called feature pairs dataset, is for training feature description and matching models (last two steps of the matching pipeline). Each dataset is accompanied by an IPYNB notebook code allowing to read and display the data as well as other information (format, type, number of samples) in order to facilitate its use.

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Institutions

Faculte des Sciences et Techniques de Settat, Institut Superieur des Metiers de l'Audiovisuel et du Cinema

Categories

Computer Vision, Machine Learning, Image Matching, Deep Learning

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