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---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- image-classification
tags:
- code
dataset_info:
features:
- name: no_makeup
dtype: image
- name: with_makeup
dtype: image
- name: part
dtype: string
- name: gender
dtype: string
- name: age
dtype: int8
- name: country
dtype: string
splits:
- name: train
num_bytes: 25845965
num_examples: 26
download_size: 25248180
dataset_size: 25845965
---
# 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
Leave a request on [**https://trainingdata.pro/datasets**](https://trainingdata.pro/datasets/makeup-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=makeup-detection-dataset) to discuss your requirements, learn about the price and buy the dataset.
# 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](https://trainingdata.pro/datasets/makeup-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=makeup-detection-dataset) 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-datamarket/TrainingData_All_datasets**
*keywords: makeup dataset, makeup detection, before-makeup shot, aftermakeup shot, general face recognition dataset, facial cosmetics database, face recognition system, post-makeup images, lipstick, cosmetic products, automatic facial makeup detection, eye makeup, beauty, cosmetics, biometric dataset, biometric data dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, human images dataset, image segmentation, images dataset, computer vision, deep learning dataset, augmented reality, ar, human identification, re-identification* |