download | R Documentation |
The NeonTreeEvaluation benchmark consists of two parts, 1) package code to run evaluation workflows, 2) evaluation data. Evaluation data is ~ 2GB in size and will be downloaded to package contents. See The training data is a large set of training tiles (>5GB). Training tiles are geographically seperate from the evaluation data.
download(training = FALSE, savedir = NULL, force = F)
training |
Download training data? See details |
savedir |
Optional directory to save data in a new location. Defaults to package contents. Warning: Functions are designed for this location, only use this argument if you do not intend to run evaluation data. |
force |
Whether to overwrite exising data |
The core zenodo download function was written by Juniper Simonis in Weecology/portalcasting (Simonis and White 2019). Adapted by Ben Weinstein.
Juniper Simonis, & Ethan White. (2019, July 11). weecology/portalcasting: hookup to zenodo (Version v0.8.0-1). Zenodo. http://doi.org/10.5281/zenodo.3332974
Weinstein, Ben G., et al. "Cross-site learning in deep learning RGB tree crown detection." Ecological Informatics 56 (2020): 101061.
download()
list_rgb()
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