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  "Title": "Deep Learning Models for Image Segmentation",
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  "Description": "A general-purpose workflow for image segmentation using\nTensorFlow models based on the U-Net architecture by\nRonneberger et al. (2015) <doi:10.48550/arXiv.1505.04597> and\nthe U-Net++ architecture by Zhou et al. (2018)\n<doi:10.48550/arXiv.1807.10165>. We provide pre-trained models\nfor assessing canopy density and understory vegetation density\nfrom vegetation photos. In addition, the package provides a\nworkflow for easily creating model input and model\narchitectures for general-purpose image segmentation based on\ngrayscale or color images, both for binary and multi-class\nimage segmentation.",
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  "Date/Publication": "2026-07-22 01:13:46 UTC",
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