{"id":9,"date":"2019-04-02T14:47:23","date_gmt":"2019-04-02T12:47:23","guid":{"rendered":"http:\/\/pagesperso.litislab.fr\/rblin\/?page_id=9"},"modified":"2022-06-02T11:06:35","modified_gmt":"2022-06-02T09:06:35","slug":"databases","status":"publish","type":"page","link":"https:\/\/pagesperso.litislab.fr\/rblin\/databases\/","title":{"rendered":"Databases"},"content":{"rendered":"<p>On this page provides all the datasets that were used in this project.<\/p>\n<p><span style=\"font-size: 10pt;\">Before giving details regarding the datasets used in this project, it is important to give further details regarding the data format. Three different data formats were used in this work:<br \/>&#8211; The intensities images (I0, I45, I135) or (I0, I45, I90) depending on the dataset. In those images, the three chosen intensities of the same scene are placed as the RGB configuration ;<br \/>&#8211; The Stokes images (S0, S1, S2). In those images, the three Stokes parameters of the same scene are placed as the RGB configuration ;<br \/>&#8211; The parameters images (S0, AOP, DOP). In those images, the first Stokes parameter (S0) the angle of polarization (AOP), the degree of polarization are placed as the RGB configuration ;<br \/>&#8211; The Poincar\u00e9 images (S0, DOP*cos(2AOP), DOP*sin(2AOP)). In those images,\u00a0(S0, DOP*cos(2AOP), DOP*sin(2AOP)) are placed as the RGB configuration ;<br \/>&#8211; The Pauli inspired images (S1, I45, S0). In those images, the second Stokes parameter, the intensity corresponding to the polarizer oriented at 45 degrees and the first Stokes parameter are placed as the RGB configuration ;<br \/>&#8211; The HSV images (AOP, DOP, S0). In those images, the angle of polarization, the degree of polarization and the first Stokes parameter are placed as the RGB configuration.<\/span><\/p>\n<p><span style=\"font-size: 10pt;\">An illustration of the same scene under the different polarimetric modalities can be found bellow. Note that in each dataset, images in the different subfolders that have the same name represent the same scene.\u00a0<\/span><\/p>\n<figure id=\"attachment_90\" aria-describedby=\"caption-attachment-90\" style=\"width: 285px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-90 size-medium\" src=\"http:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_I045135-285x300.png\" alt=\"\" width=\"285\" height=\"300\" srcset=\"https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_I045135-285x300.png 285w, https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_I045135.png 519w\" sizes=\"auto, (max-width: 285px) 100vw, 285px\" \/><figcaption id=\"caption-attachment-90\" class=\"wp-caption-text\">Illustration of the format (I0, I45, I135)<\/figcaption><\/figure>\n<figure id=\"attachment_92\" aria-describedby=\"caption-attachment-92\" style=\"width: 298px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-92\" style=\"font-size: 1rem;\" src=\"http:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_stokes_correction-290x300.png\" alt=\"\" width=\"298\" height=\"309\" srcset=\"https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_stokes_correction-290x300.png 290w, https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_stokes_correction.png 527w\" sizes=\"auto, (max-width: 298px) 100vw, 298px\" \/><figcaption id=\"caption-attachment-92\" class=\"wp-caption-text\">Illustration of the format (S0, S1, S2)<span style=\"color: #333333; font-size: 1rem;\">\u00a0\u00a0<\/span><span style=\"color: #333333; font-size: 1rem;\">\u00a0<\/span><\/figcaption><\/figure>\n<figure id=\"attachment_91\" aria-describedby=\"caption-attachment-91\" style=\"width: 286px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-91 size-medium\" style=\"font-size: 1rem;\" src=\"http:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_params_correction-286x300.png\" alt=\"\" width=\"286\" height=\"300\" srcset=\"https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_params_correction-286x300.png 286w, https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2019\/11\/data_format_params_correction.png 526w\" sizes=\"auto, (max-width: 286px) 100vw, 286px\" \/><figcaption id=\"caption-attachment-91\" class=\"wp-caption-text\">Illustration of the format (S0, AOP, DOP)<\/figcaption><\/figure>\n<p><span style=\"font-size: 10pt;\"><strong><span style=\"font-size: 14pt;\">The PolarLITIS dataset<\/span><\/strong><span style=\"font-size: 12pt;\">:<\/span><br \/>This set contains all the polarimetric and RGB images that are currently labelled. It contains 2569 paired polarimetric images and RGB images in good and adverse weather conditions. The objects are divided into 4 classes (car, person, bike, motorbike) which are the most common objects in road scenes.<\/span><br \/><span style=\"font-size: 10pt;\">There are 5 polarimetric data formats constituted of 3 channels each which are represented in the following figure. For example, for the HSV images, (AOP, DOP, S0) are placed as the RGB configuration.<\/span><span style=\"font-size: 10pt;\"><br \/><\/span><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-102 size-full\" src=\"http:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2020\/06\/data_formats.png\" alt=\"\" width=\"1023\" height=\"462\" srcset=\"https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2020\/06\/data_formats.png 1023w, https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2020\/06\/data_formats-300x135.png 300w, https:\/\/pagesperso.litislab.fr\/rblin\/wp-content\/uploads\/sites\/27\/2020\/06\/data_formats-768x347.png 768w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><span style=\"font-size: 10pt;\">The dataset properties are summarized up in the following table. Here the properties are available for each modality, we can find the number of images and the number of instances of each class.<\/span><\/p>\n<table style=\"height: 150px;\">\n<tbody>\n<tr style=\"height: 25px;\">\n<td style=\"height: 25px; width: 196.609px;\">Class<\/td>\n<td style=\"height: 25px; width: 116.219px;\">Train<\/td>\n<td style=\"height: 25px; width: 112.219px;\">Val<\/td>\n<td style=\"height: 25px; width: 111.609px;\">Test<\/td>\n<\/tr>\n<tr style=\"height: 25px;\">\n<td style=\"height: 25px; width: 196.609px;\">Images<\/td>\n<td style=\"height: 25px; width: 116.219px;\">1640<\/td>\n<td style=\"height: 25px; width: 112.219px;\">420<\/td>\n<td style=\"height: 25px; width: 111.609px;\">509<\/td>\n<\/tr>\n<tr style=\"height: 25px;\">\n<td style=\"height: 25px; width: 196.609px;\">car<\/td>\n<td style=\"height: 25px; width: 116.219px;\">6061<\/td>\n<td style=\"height: 25px; width: 112.219px;\">2102<\/td>\n<td style=\"height: 25px; width: 111.609px;\">9265<\/td>\n<\/tr>\n<tr style=\"height: 25px;\">\n<td style=\"height: 25px; width: 196.609px;\">person<\/td>\n<td style=\"height: 25px; width: 116.219px;\">527<\/td>\n<td style=\"height: 25px; width: 112.219px;\">134<\/td>\n<td style=\"height: 25px; width: 111.609px;\">442<\/td>\n<\/tr>\n<tr style=\"height: 25px;\">\n<td style=\"height: 25px; width: 196.609px;\">bike<\/td>\n<td style=\"height: 25px; width: 116.219px;\">39<\/td>\n<td style=\"height: 25px; width: 112.219px;\">7<\/td>\n<td style=\"height: 25px; width: 111.609px;\">7<\/td>\n<\/tr>\n<tr style=\"height: 25px;\">\n<td style=\"height: 25px; width: 196.609px;\">motorbike<\/td>\n<td style=\"height: 25px; width: 116.219px;\">14<\/td>\n<td style=\"height: 25px; width: 112.219px;\">5<\/td>\n<td style=\"height: 25px; width: 111.609px;\">0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Download:\u00a0<a href=\"https:\/\/zenodo.org\/record\/5547760\" target=\"_blank\" rel=\"noopener\">PolarLITIS<\/a><\/p>\n<p><span style=\"font-size: 14pt;\"><strong>A polarization-based road scenes database with adverse weather conditions<\/strong><\/span>:<br \/><span style=\"font-size: 10pt;\">This set contains all the polarimetric and RGB images that are currently labelled. It contains 7244 polarimetric images and 2994 RGB images in good and adverse weather conditions. Those images are sorted by their aquisition date. The objects are divided into 4 classes (car, person, bike, motorbike) which are the most common objects in road scenes.<\/span><br \/><span style=\"font-size: 10pt;\"><span style=\"font-size: 10pt;\"><span style=\"font-size: 10pt;\">The polarimetric data formats are (I0, I45, I90) which represents the intensities from each angle of the polarizer, (S0, S1, S2) which represents the Stokes vector and (S0, AOP, DOP) where AOP and DOP stand respectively for Angle and Degree Of Polarization.<\/span><\/span><\/span><\/p>\n<p><span style=\"font-size: 12pt;\">Download: <a href=\"https:\/\/zenodo.org\/record\/5547768\" target=\"_blank\" rel=\"noopener\">POLARIMETRIC_DB_7244_RGB_DB_2994<\/a><\/span><\/p>\n<p><span style=\"font-size: 10pt;\">An implementation of RetinaNet: <a href=\"https:\/\/github.com\/RachelBlin\/keras-retinanet\">github<\/a> (inspired of\u00a0<a href=\"https:\/\/github.com\/fizyr\/keras-retinanet\">fizyr&rsquo;s work<\/a>)<\/span><br \/><span style=\"font-size: 10pt;\">Weights of RetinaNet-50 trained on MS COCO and fine tuned on this polarimetric dataset: <a href=\"https:\/\/drive.insa-rouen.fr\/d\/e9384273cc41424c8452\/\">weights<\/a> (where\u00a0<\/span><span style=\"font-size: 10pt;\"><span style=\"font-size: 10pt;\">I refers to\u00a0(I0, I45, I135), Stokes refers to\u00a0\u200b(S0, S1, S2) and Params refers to\u00a0(S0, AOP, DOP))<\/span><\/span><\/p>\n<p><span style=\"font-size: 14pt;\"><strong>A polarization-based road scenes database<\/strong><\/span>:<br \/><span style=\"font-size: 10pt;\">This database contains 1236 polarimetric images divided into a 1004 training set and a 231 test set. The objects are divided into 4 classes (car, person, bike, motorbike) which are the most common objects in road scenes.<\/span><br \/><span style=\"font-size: 10pt;\"><span style=\"font-size: 10pt;\">The polarimetric data format is (I0, I45, I90) which represents the intensities from each angle of the polarizer.<\/span><\/span><\/p>\n<p><span style=\"font-size: 12pt;\">Download: <a href=\"https:\/\/zenodo.org\/record\/5547728\" target=\"_blank\" rel=\"noopener\">POLARIMETRIC_DB_1236<\/a><\/span><\/p>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On this page provides all the datasets that were used in this project. Before giving details regarding the datasets used in this project, it is important to give further details regarding the data format. Three different data formats were used in this work:&#8211; The intensities images (I0, I45, I135) or (I0, I45, I90) depending on &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/pagesperso.litislab.fr\/rblin\/databases\/\" class=\"more-link\">Continuer la lecture<span class=\"screen-reader-text\"> de &laquo;&nbsp;Databases&nbsp;&raquo;<\/span><\/a><\/p>\n","protected":false},"author":36,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"footnotes":""},"class_list":["post-9","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/pages\/9","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/users\/36"}],"replies":[{"embeddable":true,"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/comments?post=9"}],"version-history":[{"count":32,"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":128,"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/pages\/9\/revisions\/128"}],"wp:attachment":[{"href":"https:\/\/pagesperso.litislab.fr\/rblin\/wp-json\/wp\/v2\/media?parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}