<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><strong>Comprehensive Collection:</strong> This dataset comprises a diverse collection of images representing various skin diseases.</p>

<p><strong>Categorization:</strong> The images are meticulously categorized into 22 distinct classes, each corresponding to a specific skin condition.</p>

<p><strong>Diverse Skin Conditions:</strong> These classes include:</p>

<ul>

<li>Acne</li>

<li>Actinic Keratosis</li>

<li>Benign Tumors</li>

<li>Bullous</li>

<li>Candidiasis</li>

<li>Drug Eruption</li>

<li>Eczema</li>

<li>Infestations/Bites</li>

<li>Lichen</li>

<li>Lupus</li>

<li>Moles</li>

<li>Psoriasis</li>

<li>Rosacea</li>

<li>Seborrheic Keratoses</li>

<li>Skin Cancer</li>

<li>Sun/Sunlight Damage</li>

<li>Tinea</li>

<li>Unknown/Normal</li>

<li>Vascular Tumors</li>

<li>Vasculitis</li>

<li>Vitiligo</li>

<li>Warts</li>

</ul>

<p><strong>Intended Use:</strong> The dataset is intended for use in image classification tasks, particularly in the fields of dermatology and medical diagnostics.</p>

<p><strong>Research and Development:</strong> It provides a valuable resource for researchers, developers, and practitioners aiming to develop and evaluate machine learning algorithms for automated skin disease diagnosis and classification.</p>

<p><strong>Medical Advancements:</strong> By leveraging this dataset, advancements in the accurate and efficient identification of skin diseases can be achieved, contributing to improved patient outcomes.</p>

<p><strong>Educational Resource:</strong>  The dataset can also serve as an educational tool for training healthcare professionals and students in recognizing and diagnosing various skin conditions through image analysis.</p></div></div></div>