Skin Disease Dataset - Face Dataset & Acne Recognition Dataset

The dataset contains images of individuals with various skin conditions: acne, skin redness, and bags under the eyes. Each person is represented by 3 images showcasing their specific skin issue. The dataset encompasses diverse demographics, age, ethnicities, and genders.

Types of defects in the dataset: acne, skin redness & bags under the eyes

• Acne photos: display different severities and types of acne such as whiteheads, blackheads, and cystic acne.
• Skin redness photos: display individuals with this condition, which may be caused by rosacea or eczema.
• Bags under the eyes photos: depicts individuals with noticeable bags under their eyes, often associated with lack of sleep, aging, or genetics.

💴 For Commercial Usage: Full version of the dataset includes much more photos of people, leave a request on TrainingData to buy the dataset

The skin spots dataset is a valuable resource for researchers, developers, and organizations working at the dermatology, cosmetics and medical sphere to train, evaluate, and fine-tune AI models for real-world applications. It can be applied in various domains like skincare, scientific research and advertising.

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• Anti Spoofing Real Dataset
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• Selfies, ID Images dataset (5591 sets of 15 files)
• Selfies and video dataset (4 052 sets)
• Dataset of bald people, 5000 images

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to learn about the price and buy the dataset

Content

The folder files includes:

• 3 folders with images of people with the conditions mentioned in the name of the folder (acne, skin redness or bags under the eyes)
• each folder includes sub-folders with 3 images of each person from different angles: front, left side and right side

File with the extension .csv

• id: id of the person,
• front: link to access the front photo,
• left_side: link to access the left side's photo,
• right_side: link to access the right side's photo,
• type: type of the defect (acne, skin redness or bags under the eyes)

TrainingData provides high-quality data annotation tailored to your needs

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