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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) <arXiv:1505.04597> and the U-Net++\narchitecture by Zhou et al. (2018) <arXiv:1807.10165>. We\nprovide pre-trained models for assessing canopy density and\nunderstory vegetation density from vegetation photos. In\naddition, the package provides a workflow for easily creating\nmodel input and model architectures for general-purpose image\nsegmentation based on grayscale or color images, both for\nbinary and multi-class image segmentation.",
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  "Date/Publication": "2026-02-05 14:35:34 UTC",
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