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+<h1>About Dataset</h1>
+
+<h2>Bone Fracture Detection</h2>
+
+<p>
+A comprehensive dataset of X-ray images created to support bone fracture detection, specifically designed for computer vision research and development.
+The primary goal is to aid in the development and evaluation of automated bone fracture detection algorithms.
+</p>
+
+<h3>Key Features</h3>
+<ul>
+  <li>Images categorized into specific fracture classes:
+    <ul>
+      <li>Elbow Positive</li>
+      <li>Fingers Positive</li>
+      <li>Forearm Fracture</li>
+      <li>Humerus Fracture</li>
+      <li>Shoulder Fracture</li>
+      <li>Wrist Positive</li>
+    </ul>
+  </li>
+  <li>Annotations include:
+    <ul>
+      <li>Bounding boxes</li>
+      <li>Pixel-level segmentation masks</li>
+    </ul>
+  </li>
+</ul>
+
+<p>
+These annotations highlight the location and extent of fractures, enabling precise training and evaluation of object detection and segmentation models.
+</p>
+
+<h3>Use Cases</h3>
+<ul>
+  <li>Training machine learning models for automated fracture detection</li>
+  <li>Object detection and classification of bone fractures in medical images</li>
+  <li>Developing robust algorithms for identifying fractures across various upper extremity regions</li>
+</ul>
+
+<p>
+This dataset supports the advancement of computer vision in medical diagnostics and aims to enhance patient care through faster and more accurate fracture detection.
+</p>
+
+<h3>Citation</h3>
+<p>
+If you use this dataset in your research, please cite it using the following DOI:
+</p>
+<blockquote>
+DOI: <a href="https://doi.org/10.13140/RG.2.2.14400.34569" target="_blank">10.13140/RG.2.2.14400.34569</a><br>
+ResearchGate: <a href="https://www.researchgate.net/publication/382268240_Bone_Fracture_Detection_Computer_Vision_Project" target="_blank">
+https://www.researchgate.net/publication/382268240_Bone_Fracture_Detection_Computer_Vision_Project</a>
+</blockquote>