Update README.md

README.md

@@ -1,10 +1,49 @@
+---
+task_categories:
+- text-to-image
+- image-to-text
+language:
+- en
+tags:
+- OCR
+- blender
+- LAION
+- Stability
+size_categories:
+- 10M<n<100M
+---
 *This dataset has been created by Stability AI and LAION.*
 
-Text written on a sheet of paper rendered into 360 degree images and onto textures using: https://github.com/GbotHQ/ocr-dataset-rendering
+This dataset contains 12 million 1024x1024 images of handwritten text written on a digital 3D sheet of paper generated using Blender geometry nodes and rendered using Blender Cycles. The text has varying font size, color, and rotation, and the paper was rendered under random lighting conditions.
+Note that, the first 10 million examples are in the root folder of this dataset repository and the remaining 2 million are in ./remaining (due to the constraint on number of files per directory).
 
-Browse a few examples: https://colab.research.google.com/drive/1o0rZhtY9aeurzNrAbu6nJypULSIIcf1v?authuser=1
+It was generated with the script https://github.com/GbotHQ/ocr-dataset-rendering/, which utilizes:
+- ~8000 fonts from https://www.urbanfonts.com/free-fonts.htm and https://www.fontspace.com/
+- 643 CC0 HDRIs from https://polyhaven.com/
+- 1837 CC0 PRB materials from https://ambientcg.com/
+- random sentences sampled from https://huggingface.co/datasets/ChristophSchuhmann/wikipedia-en-nov22-1-sentence-level and https://huggingface.co/datasets/ChristophSchuhmann/1-sentence-level-gutenberg-en_arxiv_pubmed_soda
+to generate example images as shown below.
 
 ![Line level annotations](https://drive.google.com/uc?export=view&id=1T8aakgpgdW6D4gNuN7wXTqoqIayL2x9t)
 ![Character level annotations](https://drive.google.com/uc?export=view&id=1Kv2V9ruD_U-7qkEsbvL0Izq1AyrRU2ra)
 
-Note that, the first 10 million examples are in the root folder of this dataset repository and the remaining 2 million are in ./remaining (due to the constraint on number of files per directory).
+The dataset contains both line-level, as well as character level annotations for each example. The annotations are stored in the accompanying json files and are of the following form:
+```
+{
+'ocr_annotation':
+{'bounding_boxes': [[[145.0, 370.0], [788.0, 353.0], [827.0, 633.0], [182.0, 669.0]]], 
+ 'text': ['Joe.'], 
+ 'bb_relative': [[[0.1416015625, 0.361328125], [0.76953125, 0.3447265625], [0.8076171875, 0.6181640625], [0.177734375, 0.6533203125]]], 
+ 'char': ['J', 'o', 'e', '.'], 
+ 'char_idx': [0, 1, 2, 3], 
+ 'bb_character_level': [[[145.0, 370.0], [346.0, 365.0], [382.0, 651.0], [181.0, 662.0]], [[375.0, 438.0], [557.0, 431.0], [585.0, 640.0], [402.0, 650.0]], [[578.0, 440.0], [744.0, 434.0], [771.0, 629.0], [604.0, 638.0]], [[778.0, 591.0], [821.0, 589.0], [827.0, 633.0], [784.0, 635.0]]], 
+ 'font_path': '/fsx/home-wendlerc/blender-dataset/assets/fonts/fontcollection/HelloScribbles-axapm.ttf', 
+ 'font_color': [17, 25, 231], 
+ 'text_rotation_angle': 7},
+'width':1024,
+'height':1024,
+}
+```
+
+
+Browse a few more examples here: https://colab.research.google.com/drive/1o0rZhtY9aeurzNrAbu6nJypULSIIcf1v?authuser=1