a b/README.md 

  1
  
<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 combines images from multiple sources to provide a comprehensive collection for skin disease classification, aiding in research, diagnostic model development, and practical AI applications in dermatology. It includes nine distinct disease categories, each representing specific skin conditions commonly encountered in clinical settings. The categories are:</p>





  
  

  2
  
<ol>





  
  

  3
  
<li><strong>Actinic Keratosis (AK/ACK)</strong> – Precancerous lesions caused by sun exposure, often appearing as rough, scaly patches.</li>





  
  

  4
  
<li><strong>Basal Cell Carcinoma (BCC)</strong> – A common type of skin cancer, typically manifesting as small, pearly bumps or lesions.</li>





  
  

  5
  
<li><strong>Dermatofibroma (DF)</strong> – Benign skin growths that usually appear as small, firm nodules.</li>





  
  

  6
  
<li><strong>Melanoma (MEL)</strong> – A severe form of skin cancer that can appear as a new mole or a change in an existing mole.</li>





  
  

  7
  
<li><strong>Melanocytic Nevi (NV)</strong> – Commonly known as moles, these are generally benign pigmented skin lesions.</li>





  
  

  8
  
<li><strong>Squamous Cell Carcinoma (SCC)</strong> – Another form of skin cancer, often found on sun-exposed areas, presenting as rough, red patches.</li>





  
  

  9
  
<li><strong>Vascular Lesion (VASC)</strong> – Lesions related to blood vessels, such as hemangiomas and vascular malformations.</li>





  
  

  10
  
<li><strong>Seborrheic Keratoses (SEK)</strong> – Benign, wart-like growths often seen in older adults.</li>





  
  

  11
  
<li><strong>Acne</strong> – A common skin condition characterized by pimples, cysts, and blackheads, often affecting the face and back.</li>





  
  

  12
  
</ol>





  
  

  13
  
<p>Dataset Sources<br>





  
  

  14
  
This dataset draws from various well-regarded sources, providing a wide range of skin conditions across diverse demographics, skin tones, and presentation variations. The primary source is the ISIC 2019 dataset, supplemented by images from the following collections:</p>





  
  

  15
  
<ol>





  
  

  16
  
<li><strong>ISIC 2019</strong></li>





  
  

  17
  
<li><strong>Mendeley</strong></li>





  
  

  18
  
<li><strong>BCN</strong></li>





  
  

  19
  
<li><strong>PAD-UFES-20 (Mendeley)</strong></li>





  
  

  20
  
<li><strong>MED-NODE Dataset</strong></li>





  
  

  21
  
<li><strong>SD-198</strong></li>





  
  

  22
  
<li><strong>Light Field</strong></li>





  
  

  23
  
<li><strong>Dermnet</strong></li>





  
  

  24
  
<li><strong>Kaggle Face Skin Disease Dataset</strong></li>





  
  

  25
  
<li><strong>Kaggle Acne Dataset</strong></li>





  
  

  26
  
<li><strong>Kaggle Skin Disease Classification Dataset</strong></li>





  
  

  27
  
<li><strong>Kaggle Seborrheic Keratoses (SEK)</strong></li>





  
  

  28
  
<li><strong>Kaggle 20 Skin Diseases Dataset</strong></li>





  
  

  29
  
<li><strong>Kaggle Skin Diseases Image Dataset</strong></li>





  
  

  30
  
<li><strong>Roboflow Acne Computer Vision Project</strong></li>





  
  

  31
  
</ol></div></div></div>