{"id":42008,"date":"2024-10-29T14:13:36","date_gmt":"2024-10-29T13:13:36","guid":{"rendered":"https:\/\/www.tygron.com\/?page_id=42008"},"modified":"2024-10-29T14:38:18","modified_gmt":"2024-10-29T13:38:18","slug":"ai-enhanced-gis-data-for-tygron-boosting-simulation-accuracy","status":"publish","type":"page","link":"https:\/\/www.tygron.com\/en\/ai-enhanced-gis-data-for-tygron-boosting-simulation-accuracy\/","title":{"rendered":"AI-Enhanced GIS Data for Tygron: Boosting Simulation Accuracy"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"42008\" class=\"elementor elementor-42008\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-69f1bc0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"69f1bc0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-thegem\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-536da3e\" data-id=\"536da3e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-24263e5 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-text-editor\" data-id=\"24263e5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 26-03-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<section class=\"av_textblock_section\"><div class=\"avia_textblock \"><h4>AI-Enhanced GIS Data for Tygron: Boosting Simulation Accuracy<\/h4><\/div><\/section><section class=\"av_textblock_section\"><div class=\"avia_textblock \"><p>Accurate data inputs are essential for meaningful and actionable simulation results, especially in advanced urban planning projects.<\/p><p>This one-day course offers hands-on experience in enhancing GIS data inputs with AI and image recognition technologies within the Tygron Platform, enabling more robust and precise simulations.<\/p><p>Participants will learn to use Regional Convolutional Neural Networks (RCNNs) to recognize and categorize spatial features, enhancing data richness and decision-making quality.<\/p><\/div><\/section>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-701c7df\" data-id=\"701c7df\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-62fdc9e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"62fdc9e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-thegem\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-b4723ae\" data-id=\"b4723ae\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fa38470 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-image\" data-id=\"fa38470\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 26-03-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" width=\"800\" height=\"178\" src=\"https:\/\/www.tygron.com\/wp-content\/uploads\/2024\/10\/AI-Enhanced-GIS-Data-for-Tygron.png\" class=\"attachment-large size-large wp-image-42014\" alt=\"\" srcset=\"https:\/\/www.tygron.com\/wp-content\/uploads\/2024\/10\/AI-Enhanced-GIS-Data-for-Tygron.png 808w, https:\/\/www.tygron.com\/wp-content\/uploads\/2024\/10\/AI-Enhanced-GIS-Data-for-Tygron-300x67.png 300w, https:\/\/www.tygron.com\/wp-content\/uploads\/2024\/10\/AI-Enhanced-GIS-Data-for-Tygron-768x171.png 768w, https:\/\/www.tygron.com\/wp-content\/uploads\/2024\/10\/AI-Enhanced-GIS-Data-for-Tygron-18x4.png 18w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c992c47 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-text-editor\" data-id=\"c992c47\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Training Details<\/strong><\/p><p><strong>Duration:<\/strong> 1 Day<\/p><p><strong>Tygron Knowledge Level:<\/strong> Intermediate<\/p><p><strong>Python Knowledge Level:<\/strong> Intermediate <\/p><p><strong>Price:<\/strong> \u20ac750 p.p. excl. VAT<\/p><p><strong>Participants:<\/strong> 4-8<\/p><p><strong>Target Audience:<\/strong><br \/>This course is intended for urban planners, data scientists, and software developers working with the Tygron Platform who wish to enrich their projects through AI-based image recognition and data enhancement.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95b0694 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-text-editor\" data-id=\"95b0694\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Course Content<\/strong><\/p><p><strong>1. Introduction to Image Recognition and RCNN Technology<\/strong><\/p><ul><li><strong>Objective:<\/strong> Understand the fundamentals of Regional Convolutional Neural Networks (RCNNs) and their application in urban planning.<\/li><li><strong>Content:<\/strong> Overview of image recognition principles, key concepts in convolution and pooling, and how RCNNs can identify and extract spatial features within Tygron.<\/li><\/ul><p>\u00a0<\/p><p><strong>2. Creating a Basic Training Dataset<\/strong><\/p><ul><li><strong>Objective:<\/strong> Learn how to compile and prepare image datasets for model training.<\/li><li><strong>Content:<\/strong> Step-by-step guide on building datasets, including creating bounding boxes around objects (e.g., trees, vegetation) for accurate identification and localization in images.<\/li><\/ul><p>\u00a0<\/p><p><strong>3. Training an RCNN Model with PyTorch<\/strong><\/p><ul><li><strong>Objective:<\/strong> Develop hands-on skills in model training, focusing on geospatial applications.<\/li><li><strong>Content:<\/strong> Introduction to PyTorch for RCNN model training, including data import, convolution, pooling, and key parameters affecting training accuracy. Participants will gain an understanding of how the model learns and identifies object features.<\/li><\/ul><p>\u00a0<\/p><p><strong>4. Saving and Integrating the Model into Tygron<\/strong><\/p><ul><li><strong>Objective:<\/strong> Deploy the trained model within Tygron for real-world applications.<\/li><li><strong>Content:<\/strong> Instructions on saving the trained model in ONNX format, compatible with Tygron, and importing it into the Tygron platform. The course will conclude with using the model for object inference, allowing identification of public space features such as trees or solar panels.<\/li><\/ul><p>\u00a0<\/p><p><strong>Prerequisites<\/strong><\/p><p>Participants should have a basic understanding of Python programming and be familiar with the Tygron platform. Knowledge of AI concepts not essential.<\/p><p><strong>Post-Course Support<\/strong><\/p><p>Participants will have ongoing access to step-by-step tutorials and documentation on the Tygron Wiki, covering model implementation within Tygron. Video demonstrations will also be available to guide users on using the ONNX file for inference.<\/p><p><strong>Learning Outcomes<\/strong><\/p><p>By the end of this training, participants will be able to:<\/p><ul><li>Compile and prepare image recognition datasets tailored to geospatial and urban planning projects.<\/li><li>Train an RCNN model in PyTorch for object recognition relevant to Tygron.<\/li><li>Export and integrate the trained model in ONNX format into the Tygron environment.<\/li><li>Leverage AI-driven image recognition for enriched data inputs and improved simulation accuracy.<\/li><\/ul><p>\u00a0<\/p><p>This course is ideal for those looking to unlock advanced AI capabilities within the Tygron Platform, enabling more powerful insights and data-driven decision-making in urban planning projects. Contact us to secure your place in the AI-Enhanced GIS Data for Tygron course!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-242d985\" data-id=\"242d985\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-77aaf57 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-text-editor\" data-id=\"77aaf57\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<section class=\"av_textblock_section\">\n<div class=\"avia_textblock \">\n<p><strong>Practical Info<\/strong><\/p>\n<\/div>\n<\/section>\n<section class=\"av_textblock_section\">\n<div class=\"avia_textblock \">\n<p><strong>Dates: <\/strong><\/p>\n<p>To be determined<\/p>\n<p><strong>Time<\/strong>: 09:30-16:30<\/p>\n<p>If the dates don&#8217;t suit you, please send an email to <a href=\"mailto:info@tygron.com\"><strong><span style=\"text-decoration: underline;\">info@tygron.com<\/span><\/strong><\/a> with your contact details and the training(s) you are interested in. We will contact you as soon as possible.<\/p>\n<p><strong>Location<\/strong>: Tygron, The Hague or another location (in consultation), lunch included.<\/p>\n<p><strong>Cost<\/strong>: \u20ac 750,- excl. Vat per person.<\/p>\n<p><strong>Participants<\/strong>: 4 &#8211; 8<\/p>\n<\/div>\n<\/section>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-953e6c5 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-button\" data-id=\"953e6c5\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"https:\/\/www.tygron.com\/contact\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Sign up<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c284b3 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-button\" data-id=\"4c284b3\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.tygron.com\/tygron-academy\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Back to Overview<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI-Enhanced GIS Data for Tygron: Boosting Simulation Accuracy Accurate data inputs are essential for meaningful and actionable simulation results, especially in advanced urban planning projects. This one-day course offers hands-on [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/pages\/42008"}],"collection":[{"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/comments?post=42008"}],"version-history":[{"count":11,"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/pages\/42008\/revisions"}],"predecessor-version":[{"id":42020,"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/pages\/42008\/revisions\/42020"}],"wp:attachment":[{"href":"https:\/\/www.tygron.com\/en\/wp-json\/wp\/v2\/media?parent=42008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}