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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"><h2><strong>IF YOU FIND THIS CONTENT USEFUL, PLEASE LEAVE AN UPVOTE! THANK YOU!</strong></h2>
+<p>This dataset is a collection of JPEG files containing either cancerous or non-cancerous skin images. This dataset is perfect for binary classification. Each class, either cancerous or non-cancerous, is split into training and testing sets. The user can either use this default split, or he or she can use their own train-test split ratio. </p>
+<p>If you like the content or have a question, please leave an upvote or a comment! </p>
+<p><strong>Similar Datasets:</strong></p>
+<ul>
+<li><a aria-label="Wind Turbine Object Detection Dataset (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/kylegraupe/wind-turbine-image-dataset-for-computer-vision">Wind Turbine Object Detection Dataset</a> <strong>(Note: This dataset will be reworked shortly)</strong></li>
+<li><a aria-label="Satellite Footage Object Detection (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/kylegraupe/satellite-footage-object-detection-wind-turbines">Satellite Footage Object Detection</a></li>
+</ul>
+<p>P.S. I would advise you find a way to stream the images from the directory rather than load the entire batch into local or notebook memory.</p></div></div></div></div></div>
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