license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- image-classification
language:
- en
tags:
- code
Makeup Detection 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.
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
Get the Dataset
This is just an example of the data
If you need access to the entire dataset, contact us via [email protected] or leave a request on https://trainingdata.pro/data-market
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.
TrainingData provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/trainingdata-pro