Example multiclass classification dataset with the following classes (counts relative to reference labels):
"Barren" (n=163), "Forest" (n=20,807), "Impervious" (n=426), "Low Vegetation" (n=3,182), "Mixed Dev" (n=520),
and "Water" (n=200). There are a total of 25,298 samples.
- ref
reference label
- pred
predicted label
References
Maxwell, A.E., Strager, M.P., Warner, T.A., Ramezan, C.A., Morgan, A.N. and Pauley, C.E.,
2019. Large-area, high spatial resolution land cover mapping using random forests, GEOBIA, and NAIP
orthophotography: Findings and recommendations. Remote Sensing, 11(12), p.1409.