{"id":421,"date":"2018-09-10T11:28:38","date_gmt":"2018-09-10T14:28:38","guid":{"rendered":"http:\/\/web.inf.ufpr.br\/vri\/?page_id=421"},"modified":"2023-02-10T11:20:51","modified_gmt":"2023-02-10T14:20:51","slug":"iris-segmentation-annotations","status":"publish","type":"page","link":"https:\/\/web.inf.ufpr.br\/vri\/databases\/iris-segmentation-annotations\/","title":{"rendered":"Iris Segmentation &#8211; Annotations"},"content":{"rendered":"<p>We provide 2,452 annotations (i.e., ground truth) from three well-known datasets:<\/p>\n<ul>\n<li>CASIA-Iris-Thousand-v4 &#8211; 1,000 annotations, first 50 subjects;<\/li>\n<li>Cross-Spectral Iris\/Periocular &#8211; 1,000 annotations, first 124 subjects;<\/li>\n<li>Mobile Iris Challenge Evaluation I &#8211; 452 annotations from random subjects.<\/li>\n<\/ul>\n<p>We sought to eliminate all noise present in the iris, such as reflections and eyelashes.<br \/>\nThe figure below provides some samples of these annotations.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-422\" src=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/09\/bezerra2018.jpeg-300x212.jpg\" alt=\"\" width=\"600\" height=\"425\" srcset=\"https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/09\/bezerra2018.jpeg-300x212.jpg 300w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/09\/bezerra2018.jpeg-768x544.jpg 768w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/09\/bezerra2018.jpeg-360x255.jpg 360w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/09\/bezerra2018.jpeg.jpg 1000w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/p>\n<p>Remark that we only provide the masks\/annotations, not the original images. However, we preserve the original names for equivalence purposes.<\/p>\n<h3>How to obtain the ground truth<\/h3>\n<p>The annotations are released for academic research only and are free to researchers from educational or research institutes for <strong>non-commercial purposes<\/strong>.<\/p>\n<p>Please click <a href=\"https:\/\/www.inf.ufpr.br\/vri\/databases\/IrisSegAnnotations.zip\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>here<\/strong><\/a> to download the annotations.<\/p>\n<h3>References<\/h3>\n<p>If you use the annotations in your research please cite our paper [accepted for presentation at the SIBGRAPI 2018]:<\/p>\n<p>C. S. Bezerra, R. Laroca, D. R. Lucio, E. Severo, L. F. Oliveira, A. S. Britto Jr., D. Menotti, \u201cRobust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks,\u201d in Conference on Graphics, Patterns and Images (SIBGRAPI), Oct 2018, pp. 281-288. <strong>[<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8614340\" target=\"_blank\" rel=\"noopener noreferrer\">IEEE Xplore]<\/a> [<a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2019\/08\/bezerra2018robust.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">PDF<\/a><a href=\"http:\/\/www.inf.ufpr.br\/rblsantos\/papers\/bezerra2018robust.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">]<\/a>\u00a0[<a href=\"https:\/\/raysonlaroca.github.io\/bibtex\/bezerra2018robust.txt\" target=\"_blank\" rel=\"noopener noreferrer\">BibTeX<\/a>] [<a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2019\/08\/bezerra2018robust-1.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Presentation<\/a>]<\/strong><\/p>\n<h3>Contact<\/h3>\n<p>Please contact Cides S. Bezerra (<a href=\"mailto:cides.bezerra@gmail.com\" target=\"_blank\" rel=\"noopener noreferrer\">cides.bezerra@gmail.com<\/a>) for any questions or comments.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We provide 2,452 annotations (i.e., ground truth) from three well-known datasets: CASIA-Iris-Thousand-v4 &#8211; 1,000 annotations, first 50 subjects; Cross-Spectral Iris\/Periocular &#8211; 1,000 annotations, first 124 subjects; Mobile Iris Challenge Evaluation I &#8211; 452 annotations from random subjects. We sought to <a href=\"https:\/\/web.inf.ufpr.br\/vri\/databases\/iris-segmentation-annotations\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":16,"featured_media":0,"parent":16,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-421","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/comments?post=421"}],"version-history":[{"count":8,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/421\/revisions"}],"predecessor-version":[{"id":2024,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/421\/revisions\/2024"}],"up":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/16"}],"wp:attachment":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/media?parent=421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}