<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"><h1><strong>Description:</strong></h1>

<p>This dataset contains augmented images of six different dermatological conditions. Each category includes 399 images, providing a balanced dataset ideal for training machine learning models, particularly in the field of medical image analysis.</p>

<h2><strong>Categories:</strong></h2>

<ol>

<li><strong>Acne:</strong> A common skin condition that occurs when hair follicles become clogged with oil and dead skin cells, leading to pimples, blackheads, or whiteheads.</li>

<li><strong>Carcinoma:</strong> A type of skin cancer that begins in the basal or squamous cells. The images in this category may show various stages and forms of skin carcinoma.</li>

<li><strong>Eczema:</strong> A condition that makes the skin red, inflamed, itchy, and sometimes results in blisters. The images depict different manifestations of eczema.</li>

<li><strong>Keratosis:</strong> A skin condition characterized by rough, scaly patches on the skin caused by excessive growth of keratin. This category includes images of various types of keratosis, such as actinic keratosis.</li>

<li><strong>Milia:</strong> Small, white, benign bumps that typically appear on the face, especially around the eyes and on the cheeks. The images show different instances of this condition.</li>

<li><strong>Rosacea:</strong> A chronic skin condition that causes redness and visible blood vessels in your face. This category contains images depicting the typical characteristics of rosacea.</li>

</ol>

<h2><strong>Dataset Details:</strong></h2>

<p>Total Images: 2,394<br>

Images per Category: 399<br>

Image Format: JPEG<br>

Image Size: Variable.<br>

Augmentation Techniques: The images have been augmented using techniques such as rotation, flipping, zooming, and brightness adjustment to enhance the diversity of the dataset and improve model generalization.</p></div></div></div>