Deep Block’s Post

https://lnkd.in/gZ2unkDx Check out this video showcasing how DEEP BLOCK extracts land cover from high-resolution aerial orthophotos. We've recently enhanced DEEP BLOCK's image segmentation application by adding a polygon correction feature. This innovative update empowers users to leverage the geolocation data of various objects found in DEEP BLOCK when analyzing ultra-high resolution images, thereby eliminating the need for tedious post-processing tasks. Here’s how it works: DEEP BLOCK's advanced algorithms automatically identify and segment different land cover types, such as forests, urban areas, and water bodies, with remarkable accuracy. With the new polygon correction feature, users can extract these segmented areas with more precise boundaries. This becomes particularly valuable when working with complex landscapes or areas where land cover types frequently change. While tools like ARCGIS and QGIS offer polygon merging and correction functions, DEEP BLOCK has integrated these features seamlessly within its platform. This integration means you won't need to switch between multiple software programs or perform additional steps to achieve the desired level of detail and accuracy. DEEP BLOCK simplifies the process, allowing you to focus on analysis and decision-making. Imagine the time saved and the increased efficiency when mapping large areas for environmental studies, urban planning, or disaster response. DEEP BLOCK’s combination of high-resolution imagery and sophisticated image segmentation ensures that you get reliable, actionable insights without the hassle of manual corrections. But that's not all. DEEP BLOCK’s no-code interface makes it accessible even to those who may not have extensive technical expertise. Whether you're a seasoned GIS professional or a newcomer to remote sensing, DEEP BLOCK provides the tools you need to achieve professional-grade results. Get started with DEEP BLOCK for free today and experience the future of no-code computer vision for remote sensing. Visit deepblock.net to learn more and take your first step towards more efficient and accurate land cover analysis. No-code Computer Vision for Remote Sensing – deepblock.net #remotesensing #microscopy #pathology #earthobservation #gis #geoAI #wemakeaieasy #nocode #ai #ml #machinelearning #imagesegmentation #photogrammetry #semanticsegmentation #aiplatform #aitool #geoscience #geometry #aerialphotography #computervision #precisionfarming #precisionagriculture #satelliteimagery #urbanplanning #cartography #artificialintelligence

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