{"id":106813,"date":"2020-10-28T10:45:22","date_gmt":"2020-10-28T10:45:22","guid":{"rendered":"https:\/\/eurecat.org\/?post_type=avada_portfolio&#038;p=106813"},"modified":"2020-10-28T10:53:55","modified_gmt":"2020-10-28T10:53:55","slug":"framework","status":"publish","type":"avada_portfolio","link":"https:\/\/eurecat.org\/en\/portfolio-items\/framework\/","title":{"rendered":"FRAMEWORK"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 hundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-overflow:visible;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_2_3 2_3 fusion-two-third fusion-column-first\" style=\"--awb-bg-size:cover;width:65.3333%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-1\"><p><img decoding=\"async\" class=\"aligncenter size-full wp-image-106821\" src=\"https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px.jpg\" alt=\"FRAMEWORK EURECAT\" width=\"850\" height=\"447\" srcset=\"https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px-200x105.jpg 200w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px-300x158.jpg 300w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px-400x210.jpg 400w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px-600x316.jpg 600w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px-768x404.jpg 768w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px-800x421.jpg 800w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/10\/Framework_850x447px.jpg 850w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;width:100%;\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-title title fusion-title-1 fusion-title-text fusion-title-size-three\" style=\"--awb-margin-top-small:0px;--awb-margin-right-small:0px;--awb-margin-bottom-small:20px;--awb-margin-left-small:0px;\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><\/h3><span class=\"awb-title-spacer\"><\/span><div class=\"title-sep-container\"><div class=\"title-sep sep-double sep-solid\" style=\"border-color:#e0dede;\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-2\"><p><strong>Innovative software infrastructure<\/strong> that allows the <strong>evaluation of the image quality for deep learning segmentation and classification algorithms<\/strong>.<\/p>\n<p>The <strong>Framework<\/strong> project has the objective to design and develop a new software infrastructure which allows the evaluation of images quality for deep learning segmentation and classification algorithms, allowing the <strong>quality measurement of the images according to the prediction accuracy of different deep learning algorithms<\/strong>.<\/p>\n<p>The innovations promoted by the project aims at the evaluation of the image quality from the satellites after being compressed and restored, to analyse to what extent the images can be modified so that they do not suffer a significant deterioration.<\/p>\n<p>Framework, a project coordinated by <a href=\"https:\/\/satellogic.com\/industries\/\" target=\"_blank\" rel=\"noopener noreferrer\">Satellogic<\/a>, counts with the participation of the <strong><a href=\"https:\/\/eurecat.org\/en\/field-of-knowledge\/multimedia-technologies\/\">Multimedia Technologies Unit of Eurecat<\/a><\/strong> which works in tasks focused to the design and implementation of Deep Learning-based Computer Vision algorithms, together with the <a href=\"http:\/\/www.gici.uab.cat\/GiciWebPage\/\" target=\"_blank\" rel=\"noopener noreferrer\">Group on Interactive Coding of Images (GICI) of the Autonomous University of Barcelona (UAB).<\/a><\/p>\n<div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_2_3 2_3 fusion-two-third fusion-column-first\">\n<div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\">\n<div class=\"fusion-text fusion-text-2\">\n<div class=\"jhH5U\"><\/div>\n<\/div>\n<div class=\"fusion-clearfix\"><\/div>\n<\/div>\n<\/div>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_3 1_3 fusion-one-third fusion-column-last\" style=\"--awb-bg-size:cover;width:30.6666%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-title title fusion-title-2 fusion-title-text fusion-title-size-three\" style=\"--awb-margin-top-small:0px;--awb-margin-right-small:0px;--awb-margin-bottom-small:20px;--awb-margin-left-small:0px;\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\">General details<\/h3><span class=\"awb-title-spacer\"><\/span><div class=\"title-sep-container\"><div class=\"title-sep sep-double sep-solid\" style=\"border-color:#e0dede;\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-3\"><p><strong>Project\u00a0<\/strong><\/p>\n<p>Framework \u2013 Evaluation of image quality for segmentation and classification using deep learning algorithms<\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-text fusion-text-4\"><p><strong>Project reference<\/strong><\/p>\n<div class=\"fusion-text fusion-text-4\">\n<div class=\"fusion-text fusion-text-4\">\n<div class=\"fusion-text fusion-text-4\">\n<div class=\"fusion-text fusion-text-4\">\n<div class=\"fusion-text fusion-text-4\">\n<p>RTC2019-007434-7<\/p>\n<\/div>\n<h3 class=\"\" data-fontsize=\"16\" data-lineheight=\"24px\"><\/h3>\n<\/div>\n<\/div>\n<h3 class=\"\" data-fontsize=\"16\" data-lineheight=\"24px\"><\/h3>\n<\/div>\n<h3 class=\"fusion-responsive-typography-calculated\" data-fontsize=\"16\" data-lineheight=\"24px\"><\/h3>\n<\/div>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-text fusion-text-5\"><p><strong>Programme and call for tender<\/strong><\/p>\n<p>Project financed by the Ministry of Science and Innovation and by the European Union, within the framework of the call Retos-Collaboration of the State Program of Research, Development and Innovation Oriented to the Challenges of Society, within the State Research Plan Scientific and Technical and Innovation 2017-2020, with the main objective of promoting technological development, innovation and quality research.<\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:10px;margin-bottom:10px;width:100%;\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-image-element fusion-image-align-center in-legacy-container\" style=\"text-align:center;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><div class=\"imageframe-align-center\"><span class=\" fusion-imageframe imageframe-none imageframe-1 hover-type-none\"><img decoding=\"async\" width=\"400\" height=\"78\" title=\"1\" src=\"https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/1-400x78.jpg\" alt class=\"img-responsive wp-image-104189\" srcset=\"https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/1-200x39.jpg 200w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/1-400x78.jpg 400w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/1-600x117.jpg 600w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/1-800x156.jpg 800w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/1.jpg 890w\" sizes=\"(max-width: 800px) 100vw, 600px\" \/><\/span><\/div><\/div><div class=\"fusion-image-element fusion-image-align-center in-legacy-container\" style=\"text-align:center;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><div class=\"imageframe-align-center\"><span class=\" fusion-imageframe imageframe-none imageframe-2 hover-type-none\"><img decoding=\"async\" width=\"224\" height=\"244\" title=\"2\" src=\"https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/2.jpg\" alt class=\"img-responsive wp-image-104192\" srcset=\"https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/2-200x218.jpg 200w, https:\/\/eurecat.org\/wp-content\/uploads\/2020\/08\/2.jpg 224w\" sizes=\"(max-width: 800px) 100vw, 224px\" \/><\/span><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":30,"featured_media":106818,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"portfolio_category":[1534,1442],"portfolio_skills":[1547],"portfolio_tags":[],"class_list":["post-106813","avada_portfolio","type-avada_portfolio","status-publish","format-standard","has-post-thumbnail","hentry","portfolio_category-audiovisual-technology","portfolio_category-national-projects","portfolio_skills-retos-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>FRAMEWORK - Innovative software infrastructure to evaluate images<\/title>\n<meta name=\"description\" content=\"FRAMEWORK - Innovative software infrastructure to evaluate image quality for deep learning segmentation and classification algorithms.\" 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