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A brief introduction to satellite image segmentation with neural networks | by Robin Cole | Medium

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Image segmentation is a very versatile technique which enables the identification of targets which range in size from a small cluster of pixels up to targets that fill an entire image. This post introduces segmentation and clarifies the different types of segmentation (semantic, instance and panoptic). It then discusses image annotation since this is very time consuming yet important task for segmentation projects. Some significant open source datasets are then reviewed, before there is a discussion about the range of models commonly used. The post wraps up with practical advice for approaching your first segmentation project. Image segmentation is a technique which assigns a single label to each pixel in an image, allowing the identification of regions of an image that contain the same target class, and the boundaries between regions. Specifically this technique is often referred to as semantic segmentation, in order to distinguish it from instance segmentation and panoptic segmentati

A brief introduction to satellite image segmentation with neural networks Robin Cole 8 min read · Jan 20, 2023 -- 1 Listen Share Get up to speed with this versatile technique for labelling pixel regions in an image Image segmentation is a very versatile technique which enables the identification of targets which range in size from a small cluster of pixels up to targets that fill an entire image. This post introduces segmentation and clarifies the different types of segmentation (semantic, instance and panoptic). It then discusses image annotation since this is very time consuming yet importan

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