Radiant MLHub

South Africa Crop Type Competition

satellite

This dataset was produced as part of the Radiant Earth Spot the Crop Challenge. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 satellites.

Dataset ID

ref_south_africa_crops_competition_v1

DOI

10.34911/rdnt.j0co8q

Creator

Radiant Earth Foundation

Contact

ml@radiant.earth

Documentation

Citation

Western Cape Department of Agriculture, Radiant Earth Foundation (2021) "Crop Type Classification Dataset for Western Cape, South Africa", Version 1.0, Radiant MLHub, [Date Accessed] https://doi.org/10.34911/rdnt.j0co8q

Python Client example

from radiant_mlhub import Dataset

ds = Dataset.fetch('ref_south_africa_crops_competition_v1')
for c in ds.collections:
    print(c.id)

Python Client quick-start guide

Source Imagery Collections

Description

Crop Type Classification Dataset for Western Cape, South Africa

License

CC-BY-4.0

Collection ID

ref_south_africa_crops_competition_v1_train_source_s2

Download

Description

Crop Type Classification Dataset for Western Cape, South Africa

License

CC-BY-4.0

Collection ID

ref_south_africa_crops_competition_v1_train_source_s1

Download

Description

Crop Type Classification Dataset for Western Cape, South Africa

License

CC-BY-4.0

Collection ID

ref_south_africa_crops_competition_v1_test_source_s2

Download

Description

Crop Type Classification Dataset for Western Cape, South Africa

License

CC-BY-4.0

Collection ID

ref_south_africa_crops_competition_v1_test_source_s1

Download

Labels Collections

Description

Crop Type Classification Dataset for Western Cape, South Africa

License

CC-BY-4.0

Collection ID

ref_south_africa_crops_competition_v1_train_labels

Download

Description

Crop Type Classification Dataset for Western Cape, South Africa

License

CC-BY-4.0

Collection ID

ref_south_africa_crops_competition_v1_test_labels

Download