Neighboring Pixels #1955
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I have more of a conceptual question about Raster Vision. Does Raster Vision take into account neighboring pixel values when making a prediction? In contrast to classifying each pixel individually, I'm wondering if Raster Vision uses neighboring pixels as context. For instance, if identifying a tree, a dark shadow around the actual object would be considered, rather than just the green pixels of the tree canopy. I'm thinking... maybe the Object Detection classifier does this but Semantic Segmentation does not? |
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This is a question about model architectures rather than Raster Vision itself. Convolutional model architectures take neighboring pixels into account. Both Raster Vision's default model and the custom model used in the tutorials are convolutional networks. |
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This is a question about model architectures rather than Raster Vision itself. Convolutional model architectures take neighboring pixels into account. Both Raster Vision's default model and the custom model used in the tutorials are convolutional networks.