Articles • pointcoral

Get started with pointcoral: A complete local workflow from bundled CPCe annotations and images to validated cover summaries, QC overlays, and ML-ready point labels.

Worked examples and output gallery: Short reproducible examples of point tables, percent-cover summaries, QC overlays, patches, sparse masks, and CPCe raw workbook tabs.
Coordinates, image matching, and quality control: How pointcoral handles CPCe and pixel coordinates, image basenames, validation checks, and visual overlays.
Machine-learning outputs and leakage-aware splits: Prepare point labels, image-level splits, patches, and sparse masks while keeping label semantics and evaluation boundaries explicit.

Interpretation, assumptions, and limitations: Scientific boundaries for CPCe import, crosswalks, point-count cover, coordinate conversion, QC, and weak-label ML exports.
Citing pointcoral: Package citation, version, software availability, license, and the CPCe method reference.