biData: Example binary classification dataset

In micer: Map Image Classification Efficacy

Example binary classification dataset

Description

Example binary classification dataset. "Mine" is the positive case and "Not Mine" is the background class. There are 178 samples from the "Mine" class and 4,822 samples from the "Not Mine" class. Counts are relative to reference labels. Class proportions are based on landscape proportions. There are a total of 5,000 samples.

Format

ref

reference label

pred

predicted label

References

Maxwell, A.E., Bester, M.S., Guillen, L.A., Ramezan, C.A., Carpinello, D.J., Fan, Y., Hartley, F.M., Maynard, S.M. and Pyron, J.L., 2020. Semantic segmentation deep learning for extracting surface mine extents from historic topographic maps. Remote Sensing, 12(24), p.4145.

micer documentation built on April 3, 2025, 6:22 p.m.