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#semanticsegmentation

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💧🌏 Greg Cocks<p>Multi-Stage Semantic Segmentation Quantifies Fragmentation of Small Habitats at a Landscape Scale<br>--<br><a href="https://bsky.app/profile/david-alexander.bsky.social/post/3lapamlpwks25" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bsky.app/profile/david-alexand</span><span class="invisible">er.bsky.social/post/3lapamlpwks25</span></a> &lt;-- shared <a href="https://techhub.social/tags/BlueSky" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BlueSky</span></a> post<br>--<br><a href="https://doi.org/10.3390/rs15225277" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3390/rs15225277</span><span class="invisible"></span></a> &lt;-- shared paper<br>--<br>H/T David Alexander (@david-alexander.bsky.social‬)<br>“AI predictions of <a href="https://techhub.social/tags/LandCover" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LandCover</span></a> in the <a href="https://techhub.social/tags/PeakDistrict" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PeakDistrict</span></a> <a href="https://techhub.social/tags/NationalPark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NationalPark</span></a> [UK]…”<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/semanticsegmentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticsegmentation</span></a> <a href="https://techhub.social/tags/convolutionalneuralnetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>convolutionalneuralnetwork</span></a> <a href="https://techhub.social/tags/landcoverprediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>landcoverprediction</span></a> <a href="https://techhub.social/tags/habitatfragmentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>habitatfragmentation</span></a> <a href="https://techhub.social/tags/landcover" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>landcover</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/CNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CNN</span></a> <a href="https://techhub.social/tags/conservation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>conservation</span></a> <a href="https://techhub.social/tags/planning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>planning</span></a> <a href="https://techhub.social/tags/management" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>management</span></a> <a href="https://techhub.social/tags/habitats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>habitats</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/PDNP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PDNP</span></a> <a href="https://techhub.social/tags/PeakDistrict" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PeakDistrict</span></a> <a href="https://techhub.social/tags/NationalPark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NationalPark</span></a> <a href="https://techhub.social/tags/NP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NP</span></a> <a href="https://techhub.social/tags/UK" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UK</span></a> <a href="https://techhub.social/tags/Britain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Britain</span></a> <a href="https://techhub.social/tags/England" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>England</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a></p>
crop science<p>Functional stay-green supports complete grain filling in wheat genotypes, but must be carefully distinguished from cosmetic variants. Image-based monitoring of leaf senescence and canopy temperature dynamics can differentiate between ideotypic and cosmetic stay-green in high-yielding environments.&nbsp;</p><p><a href="https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1335037/full" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">frontiersin.org/journals/plant</span><span class="invisible">-science/articles/10.3389/fpls.2024.1335037/full</span></a></p><p><a href="https://scicomm.xyz/tags/Thermography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Thermography</span></a>, <a href="https://scicomm.xyz/tags/StayGreen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>StayGreen</span></a>, <a href="https://scicomm.xyz/tags/Wheat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Wheat</span></a>, <a href="https://scicomm.xyz/tags/FieldPhenomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FieldPhenomics</span></a>, <a href="https://scicomm.xyz/tags/SpikeDevelopment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SpikeDevelopment</span></a>, <a href="https://scicomm.xyz/tags/ShadingStress" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ShadingStress</span></a>, <a href="https://scicomm.xyz/tags/SourceSinkRatio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SourceSinkRatio</span></a> <a href="https://scicomm.xyz/tags/SinkStrength" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SinkStrength</span></a> <a href="https://scicomm.xyz/tags/SemanticSegmentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SemanticSegmentation</span></a></p>
Muhammad Waseem<p>My first Kaggle notebook on semantic segmentation with U-Net<br><a href="https://www.kaggle.com/code/muhammadwasee/u-net-segmentation" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">kaggle.com/code/muhammadwasee/</span><span class="invisible">u-net-segmentation</span></a></p><p>It is also available on GitHub<br><a href="https://github.com/hwaseem04/unet" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">github.com/hwaseem04/unet</span><span class="invisible"></span></a> along with notes for the U-Net paper</p><p>Special thanks to <span class="h-card"><a href="https://mastodon.social/@SebRaschka" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>SebRaschka</span></a></span> <br>for his amazing ML with PyTorch book for building my PyTorch foundations</p><p><a href="https://sigmoid.social/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyTorch</span></a> <a href="https://sigmoid.social/tags/UNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UNet</span></a> <a href="https://sigmoid.social/tags/SemanticSegmentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SemanticSegmentation</span></a> <a href="https://sigmoid.social/tags/carvana" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>carvana</span></a> <a href="https://sigmoid.social/tags/kaggle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kaggle</span></a> <a href="https://sigmoid.social/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a></p>