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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 tNtjD"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><h1>Skin Disease Dataset  - Face Dataset &amp; Acne Recognition Dataset</h1>
+<p>The dataset contains images of individuals with various skin conditions: <strong>acne, skin redness, and bags under the eyes</strong>. Each person is represented by <strong>3 images</strong> showcasing their specific skin issue. The dataset encompasses diverse <em>demographics, age, ethnicities, and genders.</em></p>
+<p><strong>Types of defects in the dataset</strong>: acne, skin redness &amp; bags under the eyes</p>
+<p><img alt="" src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fe0f981eeb53fa147dcde53de5a91de7c%2FFrame%2056.png?generation=1700159939108017&amp;alt=media"></p>
+<ul>
+<li><strong>Acne photos</strong>: display different severities and types of acne such as whiteheads, blackheads, and cystic acne. </li>
+<li><strong>Skin redness photos</strong>: display individuals with this condition, which may be caused by rosacea or eczema. </li>
+<li><strong>Bags under the eyes photos</strong>: depicts individuals with noticeable bags under their eyes, often associated with lack of sleep, aging, or genetics.</li>
+</ul>
+<h1>💴 For Commercial Usage: Full version of the dataset includes much more photos of people, leave a request on <strong><a rel="noreferrer nofollow" aria-label="TrainingData (opens in a new tab)" target="_blank" href="https://trainingdata.pro/datasets/dermatology?utm_source=kaggle&amp;utm_medium=cpc&amp;utm_campaign=skin-defects">TrainingData</a></strong> to buy the dataset</h1>
+<p>The skin spots dataset is a valuable resource for researchers, developers, and organizations working at the <strong>dermatology, cosmetics and medical sphere</strong> to train, evaluate, and fine-tune <strong>AI models</strong> for real-world applications. It can be applied in various domains like <em>skincare, scientific research and advertising</em>. </p>
+<h2>OTHER BIOMETRIC DATASETS:</h2>
+<ul>
+<li><strong><a aria-label="Anti Spoofing Real Dataset (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/trainingdatapro/anti-spoofing-live">Anti Spoofing Real Dataset</a></strong></li>
+<li><strong><a aria-label="Antispoofing Replay Dataset (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/trainingdatapro/antispoofing-replay-dataset">Antispoofing Replay Dataset</a></strong></li>
+<li><strong><a aria-label="Selfies, ID Images dataset (5591 sets of 15 files) (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/tapakah68/selfies-id-images-dataset">Selfies, ID Images dataset (5591 sets of 15 files)</a></strong></li>
+<li><strong><a aria-label="Selfies and video dataset (4 052 sets) (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/tapakah68/selfies-and-video-dataset-4-000-people">Selfies and video dataset (4 052 sets)</a></strong></li>
+<li><strong><a aria-label="Dataset of bald people, 5000 images (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/tapakah68/dataset-of-bald-people">Dataset of bald people, 5000 images</a></strong></li>
+</ul>
+<h1>💴 Buy the Dataset: This is just an example of the data. Leave a request on <strong><a rel="noreferrer nofollow" aria-label="https://trainingdata.pro/datasets (opens in a new tab)" target="_blank" href="https://trainingdata.pro/datasets/dermatology?utm_source=kaggle&amp;utm_medium=cpc&amp;utm_campaign=skin-defects">https://trainingdata.pro/datasets</a> to learn about the price and buy the dataset</strong></h1>
+<h1>Content</h1>
+<p>The folder <strong>files</strong> includes:</p>
+<ul>
+<li><strong>3 folders</strong> with images of people with the conditions mentioned in the name of the folder (<strong>acne, skin redness or bags under the eyes</strong>)</li>
+<li>each folder includes sub-folders with <strong>3 images</strong> of each person from different angles: <strong>front, left side and right side</strong></li>
+</ul>
+<p><img alt="" src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F0c57df2bbfb6745dbfd5807984efb869%2FFrame%2055.png?generation=1700159929463259&amp;alt=media"></p>
+<h3>File with the extension .csv</h3>
+<ul>
+<li><strong>id</strong>: id of the person,</li>
+<li><strong>front</strong>: link to access the front photo, </li>
+<li><strong>left_side</strong>: link to access the left side's photo,</li>
+<li><strong>right_side</strong>: link to access the right side's photo,</li>
+<li><strong>type</strong>: type of the defect (<strong>acne, skin redness or bags under the eyes</strong>)</li>
+</ul>
+<h2><strong><a rel="noreferrer nofollow" aria-label="TrainingData (opens in a new tab)" target="_blank" href="https://trainingdata.pro/datasets/dermatology?utm_source=kaggle&amp;utm_medium=cpc&amp;utm_campaign=skin-defects">TrainingData</a></strong> provides high-quality data annotation tailored to your needs</h2>
+<p><em>keywords: biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, dermatology dataset, skin on the face, IGA scale, medical data, whiteheads, blackheads, cystic acne, rosacea, eczema disease dataset, cosmetology, multi-task learning approach, facial acne image dataset, bumps on face, facial skin lesions, skin conditions, skin images, skin characteristics, automatic facial skin defect detection system, human face images, acne marks, stains, skincare, skin problems, skin disease dataset, human images, deep learning, computer vision, psoriasis dataset, eczema dataset, rosacea dataset, skin redness dataset, skin bags dataset, pimple dataset, skin spots dataset, cystic acne dataset, acne vulgaris dataset</em></p></div></div></div>
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