<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 tNtjD"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><p>This dataset provides a comprehensive collection of images aimed at supporting the development of machine learning models for detecting nail diseases, including Acral Lentiginous Melanoma, Healthy Nail, Onychogryphosis, Blue Finger, Clubbing, and Pitting diseases.</p>

<ul>

<li>Contains subfolders for each category:<ol>

<li>acral_lentiginous_melanoma</li>

<li>healthy_nail</li>

<li>onychogryphosis</li>

<li>blue_finger</li>

<li>clubbing</li>

<li>pitting</li></ol></li>

</ul>

<p>Each subfolder contains images related to the specific nail condition.<br>

File Format: JPEG</p>

<p>Preferred File Formats<br>

To ensure the data is machine-readable and easy to work with:</p>

<p>Images: Provided in standard image formats like JPEG, which are widely supported across various platforms and tools.</p>

<ul>

<li>Use Cases:<ul>

<li>Medical Image Analysis: Development of diagnostic tools for early detection of nail diseases. </li>

<li>Machine Learning Models: Training and evaluation of classification models for nail disease detection.</li>

<li>Educational Purposes: Resources for teaching medical students or researchers about nail diseases and their visual<br>

characteristics.</li></ul></li>

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