Update README.md

README.md

@@ -48,16 +48,17 @@ This dataset consists of around 11,000 unique images of hardwood leaf stomata co
  'width': 1024,
  'height': 768,
  'resolution': 118,
- 'annotations': {'category_id': [1,0,0,1,......,1,0,0
-	           ‘bounding_box': [{'x_min': 247.07020568847656,
-    'y_min': 0.37324801087379456,
-    'x_max': 269.6934509277344,
-    'y_max': 21.808128356933594},
-     ……
-    {'x_min': 896.88525390625,
-    'y_min': 759.3331298828125,
-    'x_max': 964.3740234375,
-    'y_max': 767.4677734375}]}}
+ 'annotations': {'category_id': [1,0,0,1,......,1,0,0],
+	             'bounding_box': [{'x_center_rel': 0.25232601165771484,
+    'y_center_rel': 0.014441000297665596,
+    'width_rel': 0.022092999890446663,
+    'height_rel': 0.02790999971330166},
+    ......,
+    {'x_center_rel': 0.9088180065155029,
+    'y_center_rel': 0.9940109848976135,
+    'width_rel': 0.06590700149536133,
+    'height_rel': 0.010591999627649784}]
+    }}
 ```
 ## Dataset Field
 ```
@@ -69,7 +70,7 @@ This dataset consists of around 11,000 unique images of hardwood leaf stomata co
 "width"[integer]: The width of the image.
 "height"[integer]: The height of the image
 "resolution"[integer]: The resolution of the image 
-"annotation_coordinates"[dictionary]: A dictionary containing the category id, where inner_guard_cell_walls was labeled as “0”, whole_stomata (stomatal aperture and guard cells) was labeled as “1”. and bounding box coordinates for the annotated stomatal features, "x_min" represents the horizontal coordinate of the top-left corner of the bounding box, "y_min" represents the vertical coordinate of the top-left corner of the bounding box, "x_max" represents the horizontal coordinate of the bottom-right corner of the bounding box, "y_max" represents the vertical coordinate of the bottom-right corner of the bounding box.
+"annotation_coordinates"[dictionary]: A dictionary containing the category id, where inner_guard_cell_walls was labeled as “0”, whole_stomata (stomatal aperture and guard cells) was labeled as “1”. and bounding box coordinates for the annotated stomatal features, where the x_center and y_center are expressed as normalized coordinates that correspond to the center of the bounding box, while width and height are normalized values that represent the relative width and height of the box concerning the dimensions of the image
 ```
 
 ### Curation Rationale
@@ -110,17 +111,11 @@ The study utilized stomatal images from two datasets: Hardwood and Populus spp.,
 
 [More Information Needed]
 
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 This dataset includes only images of stomata from hardwood trees and Populus, limiting its applicability for studying stomata of other tree genera, though it may serve as reference data. This dataset is not divided into training and testing sets; users must divide it themselves when necessary.Despite following rigorous procedures in collecting leaves and micrographs, considering human and instrumental errors, there's a possibility of inaccuracies in the images and their associated information within the datasets. Even though the annotation process employed pre-trained model labeling methods, complemented by quick checks using LabelImg, potential model and computational errors could still lead to incorrect annotations.
-[More Information Needed]
+
 
 ### Recommendations