<div class="sc-cmRAlD dkqmWS"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-jgvlka jFuPjz"><div class="sc-gzqKSP ktvwwo"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><p>This dataset consists of 927 image files that were labeled using Roboflow. The dataset is in YOLOv8 format. The dataset is divided into train, validation and test. Data replication processes were also applied.</p>

<h1>Preprocessing</h1>

<ul>

<li>Auto-Orient: Applied</li>

<li>Resize: Stretch to 640x640</li>

</ul>

<h1>Augmentations</h1>

<ul>

<li>Outputs per training example: 3</li>

<li>90° Rotate: Clockwise, Counter-Clockwise</li>

<li>Saturation: Between -20% and +20%</li>

<li>Blur: Up to 1.5px</li>

</ul></div></div></div></div></div>