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Add configurable metadata file and advanced filtering options for BioMassters dataset #2405

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This PR adds a parameter to allow passing different metadata files for the BioMassters dataset and implements new metadata-based filtering options. If the default metadata file is used, the behavior remains unchanged, ensuring backward compatibility. The additional filters, controlled by new parameters (max_cloud_percentage, max_red_mean, and include_corrupt), enable more refined dataset selection without impacting the default usage scenario.

@github-actions github-actions bot added the datasets Geospatial or benchmark datasets label Nov 12, 2024

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@adamjstewart adamjstewart added this to the 0.7.0 milestone Nov 12, 2024
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I'm generally okay with making the metadata file configurable (I did the same thing for SatlasPretrain so I could override the defaults).

I'm generally opposed to adding too much preprocessing/filtering to the data loader. Personally I would prefer to see this kind of stuff in the data module.

@nilsleh wrote the original data loader so I'll let him review. Thanks for the contribution!

metadata_filename: metadata file to be used
max_cloud_percentage: maximum allowed cloud percentage for images
max_red_mean: maximum allowed red_mean value for images
include_corrupt: whether to include images marked as corrupted

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Depending on what we decide, we need to add something like the following to the docstring:

.. versionadded:: 0.7
   The *metadata_filename*, *max_cloud_percentage*, ... parameters.

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thank you for the reply. I agree with the filtering on the data loader, but I didn't find any datamodule for this one.

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nilsleh commented Nov 12, 2024

I'm generally okay with making the metadata file configurable (I did the same thing for SatlasPretrain so I could override the defaults).

I'm generally opposed to adding too much preprocessing/filtering to the data loader. Personally I would prefer to see this kind of stuff in the data module.

@nilsleh wrote the original data loader so I'll let him review. Thanks for the contribution!

Trying to think whether it would make more sense to have a dedicated function, that can be overwritten to do the filtering. Otherwise there might be many more key words and a "default" is difficult to define.

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I'm generally okay with making the metadata file configurable (I did the same thing for SatlasPretrain so I could override the defaults).
I'm generally opposed to adding too much preprocessing/filtering to the data loader. Personally I would prefer to see this kind of stuff in the data module.
@nilsleh wrote the original data loader so I'll let him review. Thanks for the contribution!

Trying to think whether it would make more sense to have a dedicated function, that can be overwritten to do the filtering. Otherwise there might be many more key words and a "default" is difficult to define.

I implemented it this way because I needed specific filters, but I understand that a more general approach could be beneficial. I’m open to making adjustments if needed.

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