{"id":58,"date":"2017-06-19T19:03:03","date_gmt":"2017-06-19T22:03:03","guid":{"rendered":"http:\/\/web.inf.ufpr.br\/vri2\/?page_id=58"},"modified":"2017-06-19T19:09:39","modified_gmt":"2017-06-19T22:09:39","slug":"forest-species-database-microscopic","status":"publish","type":"page","link":"https:\/\/web.inf.ufpr.br\/vri\/databases\/forest-species-database-microscopic\/","title":{"rendered":"Forest Species Database &#8211; Microscopic"},"content":{"rendered":"<p>The Forest Species Database (FSD) is composed of 2,240 microscopic images from 112 different species from two groups (Hardwood and Softwood), 85 genera and 30 families, . The images were acquired from the sheets of wood using a Olympus Cx40 microscope with 100 times zoom. The resulting color images were saved in PNG (Portable Network Graphics) format with no compression and a resolution of 1024 \u00d7 768 pixels. The figure below provides some samples of the database.<img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-59\" src=\"http:\/\/web.inf.ufpr.br\/vri2\/wp-content\/uploads\/sites\/7\/2017\/06\/Screen-Shot-2017-06-19-at-19.02.22.png\" alt=\"\" width=\"607\" height=\"149\" srcset=\"https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2017\/06\/Screen-Shot-2017-06-19-at-19.02.22.png 607w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2017\/06\/Screen-Shot-2017-06-19-at-19.02.22-300x74.png 300w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2017\/06\/Screen-Shot-2017-06-19-at-19.02.22-360x88.png 360w\" sizes=\"(max-width: 607px) 100vw, 607px\" \/><\/p>\n<h2>Characteristics<\/h2>\n<p>The FSD 1.0 is structured as follows:<\/p>\n<ul>\n<li>112 species &#8211; 20 images per species = 2,240 images.<\/li>\n<\/ul>\n<h2>How to obtain access to the images<\/h2>\n<p>The FS Database may be used for non-commercial research provided you acknowledge the source of the image by citing the following paper in publications about your research:<\/p>\n<ul>\n<li>J. Martins, L. S. Oliveira, S. Nigkoski, R. Sabourin, <strong>A Database for Automatic Classification of Forest Species<\/strong>, Machine Vision and Applications, 24(3): 567-578, 2013. (<span class=\"link-external\"><a class=\"external-link\" href=\"http:\/\/www.inf.ufpr.br\/lesoliveira\/download\/MVA2012.pdf\">pdf<\/a><\/span>)<\/li>\n<\/ul>\n<p><a href=\"http:\/\/www.inf.ufpr.br\/lesoliveira\/download\/1-piece.zip\">Compressed file<\/a> [3.4GB]<\/p>\n<h3>Related papers<\/h3>\n<p>Our last results on this database can be found in these references<\/p>\n<ul>\n<li>J. Martins, L. S. Oliveira, S., Sabourin, R., Combining Textural Descriptors for Forest Species Recognition,\u00a038th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, 2012 (<span class=\"link-external\"><a class=\"external-link\" href=\"http:\/\/www.inf.ufpr.br\/lesoliveira\/download\/IECON2012.pdf\">pdf<\/a><\/span>).<\/li>\n<li>P. Cavalin, J. Martins, L. S. Oliveira, M. Kapp, A Multiple Feature Vector Framework for Forest Species Recognition, 28th ACM Symposium on Applied Computing (ACM SAC 2013), pages 16-20, Coimbra, Portugal, 2013 (<a class=\"internal-link\" href=\"https:\/\/web.inf.ufpr.br\/vri\/paper-sac-2013\">pdf<\/a>)<\/li>\n<li>Haffemann, L. G. ; Cavalin, P. ; Oliveira, L.S. . Forest Species Recognition using Deep Convolutional Neural Networks. International Conference on Pattern Recognition (ICPR2014), pages 1103-1107, Stockholm, Sweden, 2014<\/li>\n<li>Kapp, M.,\u00a0 Blot, R., Cavalin, P., Oliveira, L.S.,\u00a0 Automatic Forest Species Recognition based on Multiple Feature Sets. International Joint Conference on Neural Networks (IJCNN2014), pages 1296-1303,\u00a0 Beijing, China,\u00a0 2014<\/li>\n<li>Cavalin, P., Kapp, M., Oliveira, L. S., An Adaptive Multi-Level Framework for Forest Species Recognition, 2015 Brazilian Conference on Intelligent Systems (BRACIS 2015), Natal, 2015<\/li>\n<\/ul>\n<hr \/>\n<p><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\"><img decoding=\"async\" class=\"size-full wp-image-41 alignleft\" src=\"http:\/\/web.inf.ufpr.br\/vri2\/wp-content\/uploads\/sites\/7\/2017\/06\/Screen-Shot-2017-06-19-at-18.37.55.png\" alt=\"\" width=\"91\" height=\"35\" \/><\/a>This database is licensed under a <span class=\"link-external\"><a href=\"http:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"license\">Creative Commons Attribution 4.0 International License<\/a><\/span>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Forest Species Database (FSD) is composed of 2,240 microscopic images from 112 different species from two groups (Hardwood and Softwood), 85 genera and 30 families, . The images were acquired from the sheets of wood using a Olympus Cx40 <a href=\"https:\/\/web.inf.ufpr.br\/vri\/databases\/forest-species-database-microscopic\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":16,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-58","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/58","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\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":5,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":1889,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/58\/revisions\/1889"}],"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=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}