eurosat

• Description:

EuroSAT dataset is based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.

Two datasets are offered: - rgb: Contains only the optical R, G, B frequency bands encoded as JPEG image. - all: Contains all 13 bands in the original value range (float32).

URL: https://github.com/phelber/eurosat

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: https://github.com/phelber/eurosat

• Source code: tfds.image_classification.Eurosat

• Versions:

  • 2.0.0 (default): No release notes.

• Splits:

• Citation:

@misc{helber2017eurosat,
    title={EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
    author={Patrick Helber and Benjamin Bischke and Andreas Dengel and Damian Borth},
    year={2017},
    eprint={1709.00029},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

eurosat/rgb (default config)

• Config description: Sentinel-2 RGB channels

• Download size: 89.91 MiB

• Dataset size: 89.50 MiB

• Auto-cached (documentation): Yes

• Feature structure:

FeaturesDict({
    'filename': Text(shape=(), dtype=string),
    'image': Image(shape=(64, 64, 3), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=10),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('image', 'label')

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

eurosat/all

• Config description: 13 Sentinel-2 channels

• Download size: 1.93 GiB

• Dataset size: 5.36 GiB

• Auto-cached (documentation): No

• Feature structure:

FeaturesDict({
    'filename': Text(shape=(), dtype=string),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=10),
    'sentinel2': Tensor(shape=(64, 64, 13), dtype=float32),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('sentinel2', 'label')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):