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href=&#034;http://sceneparsing.csail.mit.edu/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://sceneparsing.csail.mit.edu/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/computer-vision"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/parser"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mit"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segmentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/competition"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/benchmark"/></rdf:Bag></taxo:topics></item><item rdf:about="http://mi.eng.cam.ac.uk/projects/segnet/"><title>SegNet</title><description></description><link>http://mi.eng.cam.ac.uk/projects/segnet/</link><dc:creator>achakraborty</dc:creator><dc:date>2018-04-05T15:26:58+02:00</dc:date><dc:subject>computer-vision deep-learning dataset cambridge segmentation </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-04-05T15:26:58+02:00&#034; href=&#034;http://mi.eng.cam.ac.uk/projects/segnet/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://mi.eng.cam.ac.uk/projects/segnet/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/computer-vision"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep-learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cambridge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segmentation"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/developmentseed/skynet-train"><title>developmentseed/skynet-train: Training and test the SegNet neural network on satellite imagery</title><description></description><link>https://github.com/developmentseed/skynet-train</link><dc:creator>becker</dc:creator><dc:date>2018-04-05T14:15:17+02:00</dc:date><dc:subject>image set skynet dataset neural data segmentation satelite network classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-04-05T14:15:17+02:00&#034; href=&#034;https://github.com/developmentseed/skynet-train&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://github.com/developmentseed/skynet-train&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/image"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/set"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/skynet"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neural"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segmentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/satelite"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://pyscience.wordpress.com/2014/10/19/image-segmentation-with-python-and-simpleitk/"><title>Image Segmentation with Python and SimpleITK | PyScience</title><description>In this post I will demonstrate SimpleITK, an abstraction layer over the ITK library, to segment/label the white and gray matter from an MRI dataset. I will start with an intro on what SimpleITK is, what it can do, and how to install it. The tutorial will include loading a DICOM file-series, image smoothing/denoising, region-growing…</description><link>https://pyscience.wordpress.com/2014/10/19/image-segmentation-with-python-and-simpleitk/</link><dc:creator>achakraborty</dc:creator><dc:date>2018-02-28T14:44:41+01:00</dc:date><dc:subject>library c++ cpp python visualization segmentation brain </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;In this post I will demonstrate SimpleITK, an abstraction layer over the ITK library, to segment/label the white and gray matter from an MRI dataset. I will start with an intro on what SimpleITK is, what it can do, and how to install it. The tutorial will include loading a DICOM file-series, image smoothing/denoising, region-growing…&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/c++"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cpp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segmentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/brain"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.mandarintools.com/segmenter.html"><title>Chinese Segmenter and Annotation Tool</title><description></description><link>http://www.mandarintools.com/segmenter.html</link><dc:creator>vitelot</dc:creator><dc:date>2017-08-18T10:08:36+02:00</dc:date><dc:subject>chinese language segmentation text </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2017-08-18T10:08:36+02:00&#034; href=&#034;http://www.mandarintools.com/segmenter.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.mandarintools.com/segmenter.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/chinese"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segmentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/text"/></rdf:Bag></taxo:topics></item><item rdf:about="https://code.facebook.com/posts/561187904071636"><title>Segmenting and refining images with SharpMask | Engineering Blog | Facebook Code</title><description></description><link>https://code.facebook.com/posts/561187904071636</link><dc:creator>bshanks</dc:creator><dc:date>2016-12-13T06:00:51+01:00</dc:date><dc:subject>facebook imageclassification multipathnet imagerecognition computervision sharpmask imagesegmentation cv segment deepmask segmentation imageprocessing ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2016-12-13T06:00:51+01:00&#034; href=&#034;https://code.facebook.com/posts/561187904071636&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://code.facebook.com/posts/561187904071636&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/facebook"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/imageclassification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/multipathnet"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/imagerecognition"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/computervision"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sharpmask"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/imagesegmentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cv"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deepmask"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/segmentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/imageprocessing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item></rdf:RDF>