# 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**
task_categories:image-to-image task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code region:us
{"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}}
TAGS
#task_categories-image-to-image #task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 

# 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

![](URL

# Get the dataset

### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# 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

![](URL # Get the dataset ### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-to-image #task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 
 # 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

![](URL # Get the dataset ### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
passage: TAGS
#task_categories-image-to-image #task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 
# 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

![](URL# Get the dataset### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL