Getting Started¶

\(\texttt{eurocropsml}\) is a Python package hosted on PyPI.

Installation¶

The recommended installation method is pip-installing into a virtual environment:

$ python -Im pip install eurocropsml

Usage Guide¶

The quickest way to interact with the \(\texttt{eurocropsml}\) package and get started is using the \(\texttt{EuroCropsML}\) dataset via the provided command-line interface (CLI).

Example

To get help on available commands and options, use

$ eurocropsml-cli --help

Example

To show the currently used (default) configuration for the \(\texttt{eurocropsml}\) dataset CLI, use

$ eurocropsml-cli datasets eurocrops config

Example

To download the \(\texttt{EuroCropsML}\) dataset as currently configured, use

$ eurocropsml-cli datasets eurocrops download

Alternatively, the dataset can also be manually downloaded from our Zenodo repository.


See also

A comprehensive documentation of the CLI can be found in our CLI Reference.

See also

More hands-on examples on using this package and its customization options can be found in our Examples.

See also

For a complete example use-case demonstrating the ready-to-use \(\texttt{EuroCropsML}\) dataset in action, please refer to the project’s associated official repository for benchmarking meta-learning algorithms.