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  "Package": "segmetric",
  "Title": "Metrics for Assessing Segmentation Accuracy for Geospatial Data",
  "Version": "0.3.0",
  "Authors@R": "c(person(given = \"Rolf\",\nfamily = \"Simoes\",\nrole = c(\"aut\"),\nemail = \"rolfsimoes@gmail.com\",\ncomment = c(ORCID = \"0000-0003-0953-4132\")),\nperson(given = \"Alber\",\nfamily = \"Sanchez\",\nrole = c(\"aut\"),\nemail = \"albhasan@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7966-2880\")),\nperson(given = \"Michelle\",\nfamily = \"Picoli\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mipicoli@gmail.com\",\ncomment = c(ORCID = \"0000-0001-9855-2046\")))",
  "Description": "A system that computes metrics to assess the segmentation\naccuracy of geospatial data. These metrics calculate the\ndiscrepancy between segmented and reference objects, and\nindicate the segmentation accuracy. For more details on\nchoosing evaluation metrics, we suggest seeing Costa et al.\n(2018) <doi:10.1016/j.rse.2017.11.024> and Jozdani et al.\n(2020) <doi:10.1016/j.isprsjprs.2020.01.002>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "Repository": "https://michellepicoli.r-universe.dev",
  "Date/Publication": "2023-01-09 16:43:39 UTC",
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