Radiant MLHub
agriculture
attribution benchmark
building footprints
cloud
crop type
drone
flood detection
goes
image classification
land cover
landsat 8
live fuel moisture
marine debris
naip
nlcd
object detection
off-nadir
planetscope
regression
road network
sar
segmentation
sentinel-1
sentinel-2
synthetic data
tropical storm
wildfire
worldview-2
worldview-3
xai

CSU Synthetic Attribution Benchmark Dataset

This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications. The dataset is specifically inspired from a climate forecasting setting (seasonal timescales) where the task is to predict regional climate variability given global climate read more...
attribution benchmark
regression
synthetic data
xai

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