Datasets:

hayden-donnelly
/

db-sfw-128px-filtered-and-cropped

Tasks:

Image Classification

Unconditional Image Generation

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hayden-donnelly commited on Feb 2

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@@ -14,9 +14,10 @@ First filtering was applied to remove non-character focused images, then croppin
 central character(s) of each image. Both steps were performed automatically by two different vision models trained on manually labelled subsets of the original dataset.
 This technique provided satisfactory results, however there is much room for improvement.
-## Preprocessing Datasets
-[db-sfw-512-character-filter-dataset](https://huggingface.co/datasets/hayden-donnelly/db-sfw-512-character-filter-dataset) was used to train the character filter model and
-[db-sfw-512-crop-dataset](https://huggingface.co/datasets/hayden-donnelly/db-sfw-512-crop-dataset) was used to train the crop model.
 ## Original Dataset Citation

 central character(s) of each image. Both steps were performed automatically by two different vision models trained on manually labelled subsets of the original dataset.
 This technique provided satisfactory results, however there is much room for improvement.
+## Dataset Preprocessing
+- [db-sfw-512-character-filter-dataset](https://huggingface.co/datasets/hayden-donnelly/db-sfw-512-character-filter-dataset) was used to train the character filter model.
+- [db-sfw-512-crop-dataset](https://huggingface.co/datasets/hayden-donnelly/db-sfw-512-crop-dataset) was used to train the crop model.
 ## Original Dataset Citation