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Merge branch 'Add-data-Uganda_NorthCEO_2019' of https://github.com/na…
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…saharvest/crop-mask into Add-data-Uganda_NorthCEO_2019
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MsPixels committed Mar 13, 2024
2 parents 6e6d4b4 + da98e2f commit 3d109fe
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6 changes: 3 additions & 3 deletions data/datasets.dvc
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@@ -1,6 +1,6 @@
outs:
- md5: b7c381babff36cca1ef539c77e677de4.dir
size: 676810981
nfiles: 49
- md5: 6e93e6cad86a8adad8dee9debd34f842.dir
size: 679501023
nfiles: 50
path: datasets
hash: md5
9 changes: 9 additions & 0 deletions data/report.txt
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Expand Up @@ -431,3 +431,12 @@ eo_data_complete 1000
✔ training amount: 387, positive class: 16.0%
✔ validation amount: 294, positive class: 14.3%
✔ testing amount: 319, positive class: 17.9%



Uganda_NorthCEO2019 (Timesteps: 12)
----------------------------------------------------------------------------
eo_data_complete 1000
✔ training amount: 387, positive class: 21.4%
✔ validation amount: 294, positive class: 15.3%
✔ testing amount: 319, positive class: 14.1%
4 changes: 2 additions & 2 deletions datasets.py
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Expand Up @@ -478,8 +478,8 @@ def load_labels(self) -> pd.DataFrame:
df[START], df[END] = date(2021, 1, 1), date(2022, 12, 31)
df[SUBSET] = train_val_test_split(df.index, 0.3, 0.3)
return df


class Uganda_NorthCEO2019(LabeledDataset):
def load_labels(self) -> pd.DataFrame:
raw_folder = raw_dir / "Uganda_North_2019"
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