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README.md
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@@ -74,10 +74,17 @@ The first version is stored in directory `data/bigearthnet/raw/` This dataset, a
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3. We download reference maps and sentinel-2 tile metadata with snow and cloud cover rasters
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4. This final dataset is compressed into several chunks and stored in `data/bigearthnet/raw/bigearth.tar.gz.part-a<x>`. Each chunk is 5G large. There are 24 total chunks.
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### 💡 Do you want to try your own input fusion mechanism with BigEarthNetv2.0?
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The second version of the BigEarthNetv2.0 dataset is stored in `data/bigearthnet/processed/`. These datasets are stored as 3 H5PY datasets (`.h5`) for each split in the dataset.
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This version of the processed dataset comes with (i) raw location co-ordinates, and (ii) pre-computed SatCLIP embeddings (L=10, ResNet50 image encoder backbone).
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You may access these embeddings and location metadata with keys `location` and
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## 📦 <a name="geolayersused"></a> Datasets & Georeferenced Auxiliary Layers
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3. We download reference maps and sentinel-2 tile metadata with snow and cloud cover rasters
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4. This final dataset is compressed into several chunks and stored in `data/bigearthnet/raw/bigearth.tar.gz.part-a<x>`. Each chunk is 5G large. There are 24 total chunks.
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To uncompress and re-assemble the compressed files in `data/bigearthnet/raw/`, download all the parts and run:
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```
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cat bigearthnet.tar.gz.part-* \
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| pigz -dc \
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| tar -xpf -
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```
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### 💡 Do you want to try your own input fusion mechanism with BigEarthNetv2.0?
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The second version of the BigEarthNetv2.0 dataset is stored in `data/bigearthnet/processed/`. These datasets are stored as 3 H5PY datasets (`.h5`) for each split in the dataset.
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This version of the processed dataset comes with (i) raw location co-ordinates, and (ii) pre-computed SatCLIP embeddings (L=10, ResNet50 image encoder backbone).
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You may access these embeddings and location metadata with keys `location` and `satclip_embedding`.
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## 📦 <a name="geolayersused"></a> Datasets & Georeferenced Auxiliary Layers
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