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.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
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-*.ftz filter=lfs diff=lfs merge=lfs -text
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-*.model filter=lfs diff=lfs merge=lfs -text
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-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
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-*.pt filter=lfs diff=lfs merge=lfs -text
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-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
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-*.tgz filter=lfs diff=lfs merge=lfs -text
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-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
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README.md

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-This a subset of "ceyda/smithsonian_butterflies" dataset with additional processing done to train the "ceyda/butterfly_gan" model.
-
-The preprocessing includes:
-- Adding "sim_score" to images with CLIP model using "pretty butterfly","one butterfly","butterfly with open wings","colorful butterfly" 
-- Removing butterflies with the same name(species)
-- Limiting only to the top 1000 images
-- Removing the background (doing another sim_scoring after bg removal did visually worse so didn't do it)
-- Detecting contours 
-- Cropping to the bounding box of the contour with the largest area
-- Converting back to RGB

dataset_infos.json

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data/train-00000-of-00001.parquet → huggan--smithsonian_butterflies_subset/parquet-train.parquet

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