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<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"><ul>





  
  

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<li>Dataset has 3 classes: Seborrheic Keratoses, Nevus and Melanoma.</li>





  
  

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<li>This dataset is available as <a aria-label="Melanoma Detection (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/wanderdust/skin-lesion-analysis-toward-melanoma-detection">Melanoma Detection</a> in image format. </li>





  
  

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<li>Annotated the dataset using LabelMe and converted the LabelMe annotations to COCO format.</li>





  
  

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<li>Data Distribution: <br>





  
  

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<img alt="" src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F6877898%2F49588d678527603c11bbcd80a521f7e7%2FInstance_Distribution.png?generation=1681996162696603&amp;alt=media"></li>





  
  

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<li>Total Training Instances: 2199.</li>





  
  

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<li>Total Validation Instances: 440.</li>





  
  

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<li>Total Testing Instances: 11.</li>





  
  

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<li>Approx. 16% of Data is for Validation.</li>





  
  

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