Datasets:

yh0701
/

FracAtlas_dataset

@@ -51,31 +51,33 @@ The original zip file contains 3 subfolders “images”, “Annotations”, “
 In the "image" folder, it contains 2 subfolders: "Fractured" and "Non-fractured", and each image is stored in corresponding folder in JPG format.
 In the "Annotations" folder, it contains 4 subfolders: "COCO JSON", "PASCAL VOC", "VGG JSON", and "YOLO". Annotations are stored in their corresponding folders. More details can be read in ### Annotations section.
 In the "utilities" folder, it contains several programming scripts that could be used to convert the raw files to a more readable format. None of them were used in this dataset.
-The "dataset.csv" contains many basic variables for each image:  \\
-    - image_id [string]: The unique identifier for each radiograph image in the dataset. \\
-    - hand [int]: A binary indicators (1 or 0) marking the presence of hand in the radiograph \\
-    - leg [int] : A binary indicators (1 or 0) marking the presence of leg in the radiograph \\
-    - hip [int] : A binary indicators (1 or 0) marking the presence of hip in the radiograph \\
-    - shoulder [int]: A binary indicator (1 or 0) marking the shoulder in the radiograph \\
-    - mixed [int]: A binary indicator of whether the image contains multiple body parts \\
     - hardware [int]: A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image \\
-    - multiscan [int]: A binary indicator signifies whether the image is part of a set of multiple scans \\
-    - fractured [int]: A binary indicator of whether there is a fracture present in the image \\
-    - fracture_count [int]: The number of fractures present in the image \\
-    - frontal [int]: A binary indicator denoting the front orientation of the radiograph \\
-    - lateral[int]:  A binary indicator denoting the side orientation of the radiograph \\
-    - oblique [int]: A binary indicator denoting denoting the angled orientation of the radiograph \\
 Above are the data that could be directly extracted from the downloaded files. Other than the above-mentioned features, this huggingface dataset also extract infomation from annotations files to present a more systematic and clean FracAtlas dataset.
 Other variables are extracted from the annotations files:
-    - Image [image]: A PIL image object denoting each X-ray image \\
-    - Image_path [string]: A string representing the file path for its corresponding image \\
-    - segmentation [list]: A list object contains the segmentation info for each fractured image \\
-    - bbox [list]: A list object contains the bounding box info for each fractured image \\
-    - area [float]: A float denoting the area of the bounding box in each fractured image \\
-    - height [int]
-    - width [int]
-    - segmented [int]
 ### Curation Rationale
 <!-- Motivation for the creation of this dataset. -->

 In the "image" folder, it contains 2 subfolders: "Fractured" and "Non-fractured", and each image is stored in corresponding folder in JPG format.
 In the "Annotations" folder, it contains 4 subfolders: "COCO JSON", "PASCAL VOC", "VGG JSON", and "YOLO". Annotations are stored in their corresponding folders. More details can be read in ### Annotations section.
 In the "utilities" folder, it contains several programming scripts that could be used to convert the raw files to a more readable format. None of them were used in this dataset.
+The "dataset.csv" contains many basic variables for each image:  \
+    - image_id [string]: The unique identifier for each radiograph image in the dataset. \
+    - hand [int]: A binary indicators (1 or 0) marking the presence of hand in the radiograph \
+    - leg [int] : A binary indicators (1 or 0) marking the presence of leg in the radiograph \
+    - hip [int] : A binary indicators (1 or 0) marking the presence of hip in the radiograph \
+    - shoulder [int]: A binary indicator (1 or 0) marking the shoulder in the radiograph \
+    - mixed [int]: A binary indicator of whether the image contains multiple body parts \
     - hardware [int]: A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image \\
+    - multiscan [int]: A binary indicator signifies whether the image is part of a set of multiple scans \
+    - fractured [int]: A binary indicator of whether there is a fracture present in the image \
+    - fracture_count [int]: The number of fractures present in the image \
+    - frontal [int]: A binary indicator denoting the front orientation of the radiograph \
+    - lateral[int]:  A binary indicator denoting the side orientation of the radiograph \
+    - oblique [int]: A binary indicator denoting denoting the angled orientation of the radiograph \
 Above are the data that could be directly extracted from the downloaded files. Other than the above-mentioned features, this huggingface dataset also extract infomation from annotations files to present a more systematic and clean FracAtlas dataset.
 Other variables are extracted from the annotations files:
+    - Image [image]: A PIL image object denoting each X-ray image \
+    - Image_path [string]: A string representing the file path for its corresponding image \
+    - segmentation [list]: A list object contains the segmentation info for each fractured image \
+    - bbox [list]: A list object contains the bounding box info for each fractured image \
+    - area [float]: A float denoting the area of the bounding box in each fractured image \
+    - height [int] \
+    - width [int] \
+    - Depth [int]
+    - segmented [int] \
 ### Curation Rationale
 <!-- Motivation for the creation of this dataset. -->