task_categories:image-to-image task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code region:us
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.
@InProceedings{huggingface:dataset,
title = {makeup-detection-dataset},
author = {TrainingDataPro},
year = {2023}
}
---
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

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F19315db53167636ddd6d4e7c3a2b27c0%2FMacBook%20Air%20-%201.png?generation=1689876066594275&alt=media)

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?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/data-market?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**