Update README.md

README.md

@@ -29,35 +29,30 @@ The dataset is strucured as follows:
 |---|---|---|---|
 | 646 | 1.6 Gb | Yes | No |
 
+### Collection method:
+Manual search of WikiMedia pages and selection of images with attributes that allow for the usage of images without permission or attribution of the creator of the media. Licenses include:
+- CC-O
+- No license
+- Public domain
 
+### Annotation method:
+The data was annotated using Kohya_SS in 2 phases:
+1. Automated annotation using Clip.
+2. Manual annotation.
 
-<details>
-  <summary>Collection and annotation</summary>
-    Collection method:
-    Manual search of WikiMedia pages and selection of images with attributes that allow for the usage of images without permission or attribution of the creator of the media. Licenses include:
-    - CC-O
-    - No license
-    - Public domain
-    
-    Annotation method:
-    The data was annotated using Kohya_SS in 2 phases:
-    1. Automated annotation using Clip.
-    2. Manual annotation.
-    
-    During manual annotation the following features were consitently annotated:
-    - Type of Postcard (drawing, photograph, colored in photograph)
-    - Aspect ration (horizontal, vertical or square)
-    - Border color (if there is a border)
-    - Damage of the postcard (ranging from no annotation, slightly damage, damage, significant damage)
-    - Stamps
-    - Folding damage
-    - Lineart
-    - Monochrome (color images are not specified)
-    
-    Image dataset composition:
-    The dataset compromises of postcards originating from Germany, Poland, Russia and the United States of America. No additional annotation provded to identify where the postcards are from.
-    Most of the postcards depict a bias towards nature scenes E.G snowy mountain valleys at sunset. Training a model could create a bias towards these images.
-</details>
+During manual annotation the following features were consitently annotated:
+- Type of Postcard (drawing, photograph, colored in photograph)
+- Aspect ration (horizontal, vertical or square)
+- Border color (if there is a border)
+- Damage of the postcard (ranging from no annotation, slightly damage, damage, significant damage)
+- Stamps
+- Folding damage
+- Lineart
+- Monochrome (color images are not specified)
+
+### Image dataset composition:
+The dataset compromises of postcards originating from Germany, Poland, Russia and the United States of America. No additional annotation provded to identify where the postcards are from.
+Most of the postcards depict a bias towards nature scenes E.G snowy mountain valleys at sunset. Training a model could create a bias towards these images.
 
 ## license
 This dataset is licensed under CC BY 4.0 Deed. This gives you the rights to: