Update README.md

README.md

@@ -91,121 +91,65 @@ This dataset has two configurations. These configurations both cover the same da
 An example instance from the COCO config:
 
 ```
-{'height': 2944,
- 'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=2064x2944 at 0x7FA413CDA210>,
+{'height': 5610,
+ 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=3782x5610 at 0x7F3B785609D0>,
  'image_id': 0,
- 'objects': [{'area': 435956,
-   'bbox': [0.0, 244.0, 1493.0, 292.0],
-   'category_id': 0,
+ 'objects': [{'area': 203660,
+   'bbox': [1545.0, 207.0, 1198.0, 170.0],
+   'category_id': 9,
    'id': 0,
    'image_id': '0',
    'iscrowd': False,
    'segmentation': []},
-  {'area': 88234,
-   'bbox': [305.0, 127.0, 562.0, 157.0],
+  {'area': 137034,
+   'bbox': [912.0, 1296.0, 414.0, 331.0],
    'category_id': 2,
    'id': 0,
    'image_id': '0',
    'iscrowd': False,
    'segmentation': []},
-  {'area': 5244,
-   'bbox': [1416.0, 196.0, 92.0, 57.0],
+  {'area': 110865,
+   'bbox': [2324.0, 908.0, 389.0, 285.0],
    'category_id': 2,
    'id': 0,
    'image_id': '0',
    'iscrowd': False,
    'segmentation': []},
-  {'area': 5720,
-   'bbox': [1681.0, 182.0, 88.0, 65.0],
+  {'area': 281634,
+   'bbox': [2308.0, 3507.0, 438.0, 643.0],
    'category_id': 2,
    'id': 0,
    'image_id': '0',
    'iscrowd': False,
    'segmentation': []},
-  {'area': 374085,
-   'bbox': [0.0, 540.0, 163.0, 2295.0],
-   'category_id': 1,
+  {'area': 5064268,
+   'bbox': [949.0, 471.0, 1286.0, 3938.0],
+   'category_id': 4,
    'id': 0,
    'image_id': '0',
    'iscrowd': False,
    'segmentation': []},
-  {'area': 577599,
-   'bbox': [104.0, 537.0, 253.0, 2283.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 598670,
-   'bbox': [304.0, 533.0, 262.0, 2285.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 56,
-   'bbox': [284.0, 539.0, 8.0, 7.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 1868412,
-   'bbox': [498.0, 513.0, 812.0, 2301.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 307800,
-   'bbox': [1250.0, 512.0, 135.0, 2280.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 494109,
-   'bbox': [1330.0, 503.0, 217.0, 2277.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 52,
-   'bbox': [1734.0, 1013.0, 4.0, 13.0],
-   'category_id': 1,
-   'id': 0,
-   'image_id': '0',
-   'iscrowd': False,
-   'segmentation': []},
-  {'area': 90666,
-   'bbox': [0.0, 1151.0, 54.0, 1679.0],
-   'category_id': 1,
+  {'area': 5095104,
+   'bbox': [2303.0, 539.0, 1338.0, 3808.0],
+   'category_id': 4,
    'id': 0,
    'image_id': '0',
    'iscrowd': False,
    'segmentation': []}],
- 'width': 2064}
+ 'width': 3782}
 ```
 
 An example instance from the YOLO config: 
 
 ``` python
-{'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=2064x2944 at 0x7FAA140F2450>,
- 'objects': {'bbox': [[747, 390, 1493, 292],
-   [586, 206, 562, 157],
-   [1463, 225, 92, 57],
-   [1725, 215, 88, 65],
-   [80, 1688, 163, 2295],
-   [231, 1678, 253, 2283],
-   [435, 1675, 262, 2285],
-   [288, 543, 8, 7],
-   [905, 1663, 812, 2301],
-   [1318, 1653, 135, 2280],
-   [1439, 1642, 217, 2277],
-   [1737, 1019, 4, 13],
-   [26, 1991, 54, 1679]],
-  'label': [0, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1]}}
+{'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=3782x5610 at 0x7F3B785EFA90>,
+ 'objects': {'bbox': [[2144, 292, 1198, 170],
+   [1120, 1462, 414, 331],
+   [2519, 1050, 389, 285],
+   [2527, 3828, 438, 643],
+   [1593, 2441, 1286, 3938],
+   [2972, 2444, 1338, 3808]],
+  'label': [9, 2, 2, 2, 4, 4]}}
 ```
 
 
@@ -286,7 +230,7 @@ This data does not contain information relating to living individuals.
 
 ### Social Impact of Dataset
 
-There are a growing number of datasets related to page layout for historical documents. This dataset offers a different approach to annotating these datasets (focusing on object detection rather than pixel-level annotations). Improving document layout recognition can have a positive impact on downstream tasks, in particular Optical Character Recognition.
+A growing number of datasets are related to page layout for historical documents. This dataset offers a different approach to annotating these datasets (focusing on object detection rather than pixel-level annotations). Improving document layout recognition can have a positive impact on downstream tasks, in particular Optical Character Recognition.
 
 ### Discussion of Biases