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@@ -92,6 +92,9 @@ My main point here also would be that this dataset, even though still consisting
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  ## Files
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  Files have been named with '{dataset_name}_{index}.webp' so that if one of these used datasets were problematic concerning public access, could still be removed in the future form this dataset.
 
 
 
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  I did convert to webp because of file size reduction, because the dataset was originally at around 200GB, when I then used oxipng ("oxipng --strip safe --alpha *.png") for optimization. But lossless webp is just the best option available currently for lossless file size reduction.
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  (JPEGXL is not supported by cv2 for training yet. WebP2 is experimental. FLIF was discontinued for JPEGXL.)
@@ -102,8 +105,6 @@ I did convert to webp because of file size reduction, because the dataset was or
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  </figure>
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- See [file list](https://huggingface.co/datasets/Phips/BHI/resolve/main/files.txt?download=true) for all the files in the dataset
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-
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  ## Upload
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  I uploaded the dataset as multi-part zip archive files with a max of 25GB per file, resulting in 6 archive files.
 
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  ## Files
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  Files have been named with '{dataset_name}_{index}.webp' so that if one of these used datasets were problematic concerning public access, could still be removed in the future form this dataset.
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+ Some tiles have been filtered in a later step, so dont worry if some index numbers are missing, all files are listed in the [file list](https://huggingface.co/datasets/Phips/BHI/resolve/main/files.txt?download=true).
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+ Also all scores can be found in the [scores folder](https://huggingface.co/datasets/Phips/BHI/tree/main/scores).
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  I did convert to webp because of file size reduction, because the dataset was originally at around 200GB, when I then used oxipng ("oxipng --strip safe --alpha *.png") for optimization. But lossless webp is just the best option available currently for lossless file size reduction.
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  (JPEGXL is not supported by cv2 for training yet. WebP2 is experimental. FLIF was discontinued for JPEGXL.)
 
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  </figure>
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  ## Upload
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  I uploaded the dataset as multi-part zip archive files with a max of 25GB per file, resulting in 6 archive files.