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<?xml-stylesheet type="text/xsl" href="https://communities.bentley.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Marwane Jebbari's Activities</title><link>https://communities.bentley.com/members/2ffefce7_2d00_dc68_2d00_4830_2d00_b6ae_2d00_1a82c835d3b3</link><description>Marwane Jebbari's recent activity</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>iTwin Capture detectors download page</title><link>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/54656/itwin-capture-detectors-download-page</link><pubDate>Tue, 23 Aug 2022 08:40:55 GMT</pubDate><guid isPermaLink="false">6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:92391694-4cea-4209-af3d-9163ec8d9e8c</guid><dc:creator>Antonin Anquetil</dc:creator><description>&lt;h1&gt;Detectors&lt;/h1&gt;
&lt;p&gt;Here is a list of detectors already trained. They can be executed in ContextCapture, Orbit Feature Extraction Pro, Orbit 3DM Manage and Extract and Reality Data Analysis Service to run Annotation jobs.&lt;br /&gt;Each detector was trained:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;For a specific purpose&lt;/li&gt;
&lt;li&gt;On a specific dataset&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Meaning, while running on your dataset, each detector type can only be used for the same specific type of job.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The quality of the detection will depend on the similarity between your dataset and the training dataset&amp;rsquo;s description.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;If using ContextCapture, we recommend you to update your version to the latest one.&lt;br /&gt;&lt;br /&gt;In case no detector fits your purpose, you are welcome to submit a&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;a href="https://apps.bentley.com/srmanager/ProductSupport"&gt;help ticket&lt;/a&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;from your personal portal describing your expectations.&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;table border="1" frame="void" rules="rows"&gt;
&lt;thead&gt;
&lt;tr style="background-color:#055680;border-color:#000000;"&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Name&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Detector Type&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Description&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Illustration&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Links&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Cracks&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect cracks in concrete infrastructure to enable defect inspection workflows.&lt;br /&gt;&lt;br /&gt;Dataset used: drone + handheld&lt;br /&gt;&lt;br /&gt;Resolution: around 1cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/cracks.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/cracks_1.zip"&gt;Orbit 3DM FE Pro 22.10&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/cracks_7.zip"&gt;ContextCapture Update 20 &lt;br /&gt;ContextCapture 2023 &lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Face &amp;amp; License plates&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect faces and license plates to enable anonymization workflows.&lt;br /&gt;&lt;br /&gt;Dataset Used: mobile mapping device - Panoramas&lt;br /&gt;&lt;br /&gt;Resolution: N/A&lt;br /&gt;&lt;br /&gt;Geographic area: Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Face%20&amp;amp;%20License%20plates.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Face_&amp;amp;_License_plates_1.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023 &lt;br /&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Traffic signs&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect traffic signs to enable asset inventory workflows&lt;br /&gt;Dataset used: Terrestrial imagery captured by mobile mapping devices&lt;br /&gt;Geographic area: Multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Traffic%20signs.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Traffic_signs_1.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Cracks Ortho&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect cracks in concrete infrastructure to enable defect inspection workflows.&lt;br /&gt;&lt;br /&gt;Dataset used: drone + handheld&lt;br /&gt;&lt;br /&gt;Resolution: around 1cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/cracks_ortho.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Cracks_Ortho_5.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Cracks_Ortho_4.zip"&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Manholes&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect manholes to support mapping &amp;amp; surveying workflows&lt;br /&gt;- Dataset used : Drone images in urban environment&lt;br /&gt;- Resolution : Around 2cm/pix&lt;br /&gt;- Geographic Area : Eastern Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Manholes.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Manholes_2.zip"&gt;ContextCapture Update 20.1&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Terrain&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Extract ground from your reality-mesh&lt;br /&gt;Dataset used: Drone&lt;br /&gt;Resolution: Under 70cm&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Terrain.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Terrain_4.zip"&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;RoofsA&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Dataset used: vertical/aerial mapping camera&lt;br /&gt;&lt;br /&gt;Resolution: around 30cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/roofsA.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsA_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsA_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;RoofsB&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Dataset used: vertical/aerial mapping camera&lt;br /&gt;&lt;br /&gt;Resolution: around 7.5cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: Christchurch - New Zealand&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/roofsB.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsB_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsB_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;&lt;/p&gt;
&lt;h1&gt;Datasets&lt;/h1&gt;
&lt;p&gt;Here is a list of sample datasets. They can be used to test the detectors above and the use of services like RDAS. &lt;br /&gt; To use one of the examples, you must replace the absolute path inside the &amp;quot;References&amp;quot; tag of the example&amp;#39;s ContextScene.xml file with the absolute path leading to where the images were saved. &lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;table border="1" frame="void" rules="rows"&gt;
&lt;thead&gt;
&lt;tr style="background-color:#055680;border-color:#000000;"&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Name&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Illustration&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Link&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation / Roofs&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Orthophoto_Segmentation-Roofs_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Orthophoto_Segmentation-Roofs_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object / Face and License Plates / Traffic signs&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Object-Face_and_License_Plates-Traffic_signs_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Object-Face_and_License_Plates-Traffic_signs_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Object-Face_and_License_Plates-Traffic_signs_Orbit.zip"&gt;Orbit&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation / Cracks&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks_Orbit.zip"&gt;Orbit&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation / Cracks3d&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks3d_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks3d_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation / Trees&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Pointcloud_Segmentation-Trees_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Pointcloud_Segmentation-Trees_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Pointcloud_Segmentation-Trees_Orbit.zip"&gt;Orbit&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;&lt;/p&gt;
&lt;h1&gt;Detectors For Testing&lt;/h1&gt;
&lt;p&gt;Below is an extension of primary detectors&amp;rsquo; list.&lt;/p&gt;
&lt;p&gt;These detectors are meant to support testing of all job types.&lt;/p&gt;
&lt;p&gt;Their training pattern is very specific and a high accuracy on personal data cannot be expected.&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;table border="1" frame="void" rules="rows"&gt;
&lt;thead&gt;
&lt;tr style="background-color:#055680;border-color:#000000;"&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Name&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Detector Type&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Description&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Illustration&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Links&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Coco&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 90 classes for everyday life objects: cars, books, chairs, etc&amp;hellip;&lt;br /&gt;Dataset used: Handheld camera&lt;br /&gt;Resolution: Not available&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Coco.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Coco_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Coco_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt; Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pascal&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 20 classes for everyday life elements: cars, motorbikes, persons, etc&amp;hellip;&lt;br /&gt;Dataset used: Handheld camera&lt;br /&gt;Resolution: Not available&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Pascal.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Pascal_1.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM FE Pro 22.07 &lt;br /&gt; Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;CityA&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 7 classes in city environment: Roofs, vegetation, poles, power lines, ground, cars, fences&lt;br /&gt;Dataset used: Aerial Lidar&lt;br /&gt;Resolution: 3cm&lt;br /&gt;Geographic area: United States&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/CityA.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityA_2.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityA_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt; Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;CityB&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 5 classes in city environment: Roofs, vegetation, bridges, power lines, ground&lt;br /&gt;Dataset used: RGB - Aerial Lidar&lt;br /&gt;Resolution: 20cm&lt;br /&gt;Geographic area: Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/CityB.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityB_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityB_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Ghost&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect moving elements of pointcloud capture to clan-up mapping data&lt;br /&gt;- Dataset used : mobile mapping pointcloud&lt;br /&gt;- Resolution : 5cm&lt;br /&gt;- Geographic Area : Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Ghost.JPG" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Ghost_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Light poles&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect lightpoles to support mapping and asset-inventory workflows&lt;br /&gt;- Dataset used : mobile mapping pointcloud&lt;br /&gt;- Resolution : 5cm&lt;br /&gt;- Geographic Area : Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Light%20poles.JPG" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Light_poles_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Rail&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 13 classes for usual rail assets: signals, sensors, rails, etc&amp;hellip;&lt;br /&gt;Dataset used: RGB - Mobile mapping system&lt;br /&gt;Resolution: 3cm&lt;br /&gt;Geographic area: Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Rail.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Rail_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Trees&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect trees for mapping or clash prediction workflows&lt;br /&gt;- Dataset used : Mobile mapping pointcloud&lt;br /&gt;- Resolution : 4cm&lt;br /&gt;- Geographic Area : South America&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Trees.JPG" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Trees_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>iTwin Capture detectors download page</title><link>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/54656/itwin-capture-detectors-download-page</link><pubDate>Fri, 19 Aug 2022 13:45:52 GMT</pubDate><guid isPermaLink="false">6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:41b24f7b-fb52-4c20-81c4-1a5958b89021</guid><dc:creator>Antonin Anquetil</dc:creator><description>&lt;h1&gt;Detectors&lt;/h1&gt;
&lt;p&gt;Here is a list of detectors already trained. They can be executed in ContextCapture, Orbit Feature Extraction Pro, Orbit 3DM Manage and Extract and Reality Data Analysis Service to run Annotation jobs.&lt;br /&gt;Each detector was trained:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;For a specific purpose&lt;/li&gt;
&lt;li&gt;On a specific dataset&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Meaning, while running on your dataset, each detector type can only be used for the same specific type of job.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The quality of the detection will depend on the similarity between your dataset and the training dataset&amp;rsquo;s description.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;If using ContextCapture, we recommend you to update your version to the latest one.&lt;br /&gt;&lt;br /&gt;In case no detector fits your purpose, you are welcome to submit a&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;a href="https://apps.bentley.com/srmanager/ProductSupport"&gt;help ticket&lt;/a&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;from your personal portal describing your expectations.&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;table border="1" frame="void" rules="rows"&gt;
&lt;thead&gt;
&lt;tr style="background-color:#055680;border-color:#000000;"&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Name&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Detector Type&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Description&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Illustration&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Links&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Cracks&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect cracks in concrete infrastructure to enable defect inspection workflows.&lt;br /&gt;&lt;br /&gt;Dataset used: drone + handheld&lt;br /&gt;&lt;br /&gt;Resolution: around 1cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/cracks.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/cracks_1.zip"&gt;Orbit 3DM FE Pro 22.10&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/cracks_7.zip"&gt;ContextCapture Update 20 &lt;br /&gt;ContextCapture 2023 &lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Face &amp;amp; License plates&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect faces and license plates to enable anonymization workflows.&lt;br /&gt;&lt;br /&gt;Dataset Used: mobile mapping device - Panoramas&lt;br /&gt;&lt;br /&gt;Resolution: N/A&lt;br /&gt;&lt;br /&gt;Geographic area: Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Face%20&amp;amp;%20License%20plates.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Face_&amp;amp;_License_plates_1.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023 &lt;br /&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Traffic signs&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect traffic signs to enable asset inventory workflows&lt;br /&gt;Dataset used: Terrestrial imagery captured by mobile mapping devices&lt;br /&gt;Geographic area: Multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Traffic%20signs.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Traffic_signs_1.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Cracks Ortho&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect cracks in concrete infrastructure to enable defect inspection workflows.&lt;br /&gt;&lt;br /&gt;Dataset used: drone + handheld&lt;br /&gt;&lt;br /&gt;Resolution: around 1cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/cracks_ortho.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Cracks_Ortho_5.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Cracks_Ortho_4.zip"&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Manholes&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect manholes to support mapping &amp;amp; surveying workflows&lt;br /&gt;- Dataset used : Drone images in urban environment&lt;br /&gt;- Resolution : Around 2cm/pix&lt;br /&gt;- Geographic Area : Eastern Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Manholes.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Manholes_2.zip"&gt;ContextCapture Update 20.1&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Terrain&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Extract ground from your reality-mesh&lt;br /&gt;Dataset used: Drone&lt;br /&gt;Resolution: Under 70cm&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Terrain.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Terrain_4.zip"&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;RoofsA&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Dataset used: vertical/aerial mapping camera&lt;br /&gt;&lt;br /&gt;Resolution: around 30cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/roofsA.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsA_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsA_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;RoofsB&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Dataset used: vertical/aerial mapping camera&lt;br /&gt;&lt;br /&gt;Resolution: around 7.5cm/pix&lt;br /&gt;&lt;br /&gt;Geographic area: Christchurch - New Zealand&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/roofsB.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsB_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/roofsB_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;&lt;/p&gt;
&lt;h1&gt;Datasets&lt;/h1&gt;
&lt;p&gt;Here is a list of sample datasets. They can be used to test the detectors above and the use of services like RDAS. &lt;br /&gt; To use one of the examples, you must replace the absolute path inside the &amp;quot;References&amp;quot; tag of the example&amp;#39;s ContextScene.xml file with the absolute path leading to where the images were saved. &lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;table border="1" frame="void" rules="rows"&gt;
&lt;thead&gt;
&lt;tr style="background-color:#055680;border-color:#000000;"&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Name&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Illustration&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Link&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Orthophoto Segmentation / Roofs&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Orthophoto_Segmentation-Roofs_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Orthophoto_Segmentation-Roofs_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object / Face and License Plates / Traffic signs&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Object-Face_and_License_Plates-Traffic_signs_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Object-Face_and_License_Plates-Traffic_signs_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Object-Face_and_License_Plates-Traffic_signs_Orbit.zip"&gt;Orbit&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation / Cracks&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks_Orbit.zip"&gt;Orbit&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation / Cracks3d&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks3d_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Photo_Segmentation-Cracks3d_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="468"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation / Trees&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Pointcloud_Segmentation-Trees_CC_RDAS_thumbnail.jpg" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Pointcloud_Segmentation-Trees_CC_RDAS.zip"&gt;Context Capture&lt;br /&gt;RDAS&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Datasets/Pointcloud_Segmentation-Trees_Orbit.zip"&gt;Orbit&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;&lt;/p&gt;
&lt;h1&gt;Detectors For Testing&lt;/h1&gt;
&lt;p&gt;Below is an extension of primary detectors&amp;rsquo; list.&lt;/p&gt;
&lt;p&gt;These detectors are meant to support testing of all job types.&lt;/p&gt;
&lt;p&gt;Their training pattern is very specific and a high accuracy on personal data cannot be expected.&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;table border="1" frame="void" rules="rows"&gt;
&lt;thead&gt;
&lt;tr style="background-color:#055680;border-color:#000000;"&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Name&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Detector Type&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Description&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Illustration&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;
&lt;p&gt;&lt;span style="font-size:150%;"&gt;&lt;strong&gt;&lt;span style="color:#ffffff;"&gt;Links&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Coco&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Object Detection&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 90 classes for everyday life objects: cars, books, chairs, etc&amp;hellip;&lt;br /&gt;Dataset used: Handheld camera&lt;br /&gt;Resolution: Not available&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Coco.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Coco_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Coco_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt; Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pascal&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Photo Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 20 classes for everyday life elements: cars, motorbikes, persons, etc&amp;hellip;&lt;br /&gt;Dataset used: Handheld camera&lt;br /&gt;Resolution: Not available&lt;br /&gt;Geographic area: multiple&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Pascal.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Pascal_1.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM FE Pro 22.07 &lt;br /&gt; Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;CityA&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 7 classes in city environment: Roofs, vegetation, poles, power lines, ground, cars, fences&lt;br /&gt;Dataset used: Aerial Lidar&lt;br /&gt;Resolution: 3cm&lt;br /&gt;Geographic area: United States&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/CityA.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityA_2.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityA_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt; Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;CityB&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 5 classes in city environment: Roofs, vegetation, bridges, power lines, ground&lt;br /&gt;Dataset used: RGB - Aerial Lidar&lt;br /&gt;Resolution: 20cm&lt;br /&gt;Geographic area: Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/CityB.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityB_1.zip"&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/CityB_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Ghost&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect moving elements of pointcloud capture to clan-up mapping data&lt;br /&gt;- Dataset used : mobile mapping pointcloud&lt;br /&gt;- Resolution : 5cm&lt;br /&gt;- Geographic Area : Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Ghost.JPG" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Ghost_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Light poles&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect lightpoles to support mapping and asset-inventory workflows&lt;br /&gt;- Dataset used : mobile mapping pointcloud&lt;br /&gt;- Resolution : 5cm&lt;br /&gt;- Geographic Area : Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Light%20poles.JPG" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Light_poles_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Rail&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect 13 classes for usual rail assets: signals, sensors, rails, etc&amp;hellip;&lt;br /&gt;Dataset used: RGB - Mobile mapping system&lt;br /&gt;Resolution: 3cm&lt;br /&gt;Geographic area: Western Europe&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Rail.png" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Rail_3.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM FE Pro 22.10 &lt;br /&gt; Orbit 3DM Manage and Extract 23.1 &lt;br /&gt; RDAS&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td width="125"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Trees&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="133"&gt;
&lt;p&gt;&lt;span style="font-size:120%;"&gt;Pointcloud Segmentation&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="210"&gt;
&lt;p&gt;Detect trees for mapping or clash prediction workflows&lt;br /&gt;- Dataset used : Mobile mapping pointcloud&lt;br /&gt;- Resolution : 4cm&lt;br /&gt;- Geographic Area : South America&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td width="162"&gt;&lt;img alt=" " height="121" src="https://3dmlivestorageneu1.blob.core.windows.net/rdas/detector-thumbnails/Trees.JPG" width="126" /&gt;&lt;/td&gt;
&lt;td width="162"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:inherit;"&gt;&lt;a href="https://3dmlivestorageneu1.blob.core.windows.net/rdas/Detectors/Trees_2.zip"&gt;ContextCapture Update 20&lt;br /&gt;ContextCapture 2023&lt;br /&gt;Orbit 3DM Manage and Extract 23.1&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item></channel></rss>