Makeup Detection - face recognition dataset

The dataset consists of photos featuring the same individuals captured in two distinct scenarios - with and without makeup. The dataset contains a diverse range of individuals with various ages, ethnicities and genders. The images themselves would be of high quality, ensuring clarity and detail for each subject.

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In photos with makeup, it is applied to only specific parts of the face, such as eyes, lips, or skin. In photos without makeup, individuals have a bare face with no visible cosmetics or beauty enhancements. These images would provide a clear contrast to the makeup images, allowing for significant visual analysis.

The dataset's possible applications:

• facial recognition
• beauty consultations and personalized recommendations
• augmented reality and filters in photography apps
• social media and influencer marketing
• dermatology and skincare

Content

• no_makeup: includes images of people without makeup
• with_makeup: includes images of people wearing makeup. People are the same as in the previous folder, photos are identified by the same name
• .csv file: contains information about people in the dataset

File with the extension .csv

includes the following information for each set of media files:

• no_makeup: link to the photo of a person without makeup,
• with_makeup: link to the photo of the person with makeup,
• part: body part of makeup's application,
• gender: gender of the person,
• age: age of the person,
• country: country of the person

Images for makeup detection might be collected in accordance with your requirements.

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

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