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Added Chart
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README.md
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@@ -60,6 +60,10 @@ Image source: [Source1](https://danbooru.donmai.us/posts/3143351) [Source2](http
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Our dataset is scored using Pretrained CLIP+MLP Aesthetic Scoring model by https://github.com/christophschuhmann/improved-aesthetic-predictor, and We made adjusment into our script to detecting any text or watermark by utilizing OCR by pytesseract
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This scoring method has scale between -1-100, we take the score threshold around 17 or 20 as minimum and 50-75 as maximum to pretain the 2D style of the dataset, Any images with text will returning -1 score. So any images with score below 17 or above 65 is deleted
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The dataset curation proccess is using Nvidia T4 16GB Machine and takes about 7 days for curating 1.000.000 images.
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Our dataset is scored using Pretrained CLIP+MLP Aesthetic Scoring model by https://github.com/christophschuhmann/improved-aesthetic-predictor, and We made adjusment into our script to detecting any text or watermark by utilizing OCR by pytesseract
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<p align="center">
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<img src="Chart.png" width=70% height=70%>
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</p>
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This scoring method has scale between -1-100, we take the score threshold around 17 or 20 as minimum and 50-75 as maximum to pretain the 2D style of the dataset, Any images with text will returning -1 score. So any images with score below 17 or above 65 is deleted
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The dataset curation proccess is using Nvidia T4 16GB Machine and takes about 7 days for curating 1.000.000 images.
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