Add AgriFieldNet India Challenge dataset #1459
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Not sure if you can see it but https://app.codecov.io/gh/microsoft/torchgeo/pull/1459 tells you which lines are missing coverage. You can also check this from the command line: https://torchgeo.readthedocs.io/en/stable/user/contributing.html#tests |
adamjstewart
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Jul 4, 2023
adamjstewart
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Jul 4, 2023
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@yichiac do you need help with this? |
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Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
adamjstewart
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Feb 12, 2024
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Confirmed 100% test coverage locally. |
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This PR adds the AgriFieldNet India Challenge dataset. The dataset contains pre-chipped Sentinel-2 imagery and labels for crop type in India.
Challenge
Dataset overview
The downloader for Source Cooperative needs to migrate from Radiant MLHub to Source Cooperative #1830. Due to the migration process not yet being finalized, the PR currently does not implement the automatic download feature.
A significant portion of the datasets available through this service are provided as compressed files, which facilitates the use of checksums for integrity verification. However, this dataset is distributed via directories and individual files. This structure presents a challenge for implementing standard checksum verification procedures.
Given this scenario, we have yet to establish a robust method for checksumming these non-compressed files and directories. Consequently, this PR temporarily suspends the execution of
check_integrityand related checksum functions until a viable solution is determined.