Radiant MLHub
agriculture
arc
attribution benchmark
building footprints
cloud
crop type
drone
era5
field boundary
flood detection
goes
image classification
land cover
landsat 8
live fuel moisture
marine debris
maxar
naip
nlcd
object detection
off-nadir
perspective images
planetscope
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road network
sar
segmentation
sentinel-1
sentinel-2
synthetic data
tamsat
tropical storm
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worldview-2
worldview-3
xai

Eyes on the Ground Image Data

The 'Eyes on the Ground' project (lacunafund.org) is a collaboration between ACRE Africa, the International Food Policy Research Institute (IFPRI), and the Lacuna Fund, to create a large machine learning (ML) dataset of smallholder farmer's fields based upon previous work within the Picture Based Insurance framework (Ceballos, Kramer and read more...
arc
crop type
era5
perspective images
regression
sentinel-2
tamsat

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