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--- |
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license: cc-by-nc-nd-4.0 |
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--- |
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# Makeup Detection Dataset |
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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*. |
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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. |
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### The dataset's possible applications: |
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- facial recognition |
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- beauty consultations and personalized recommendations |
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- augmented reality and filters in photography apps |
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- social media and influencer marketing |
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- dermatology and skincare |
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# Get the Dataset |
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### This is just an example of the data |
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If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** |
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# Content |
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- **no_makeup**: includes images of people *without* makeup |
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- **with_makeup**: includes images of people *wearing makeup*. People are the same as in the previous folder, photos are identified by the same name |
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- **.csv** file: contains information about people in the dataset |
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### File with the extension .csv |
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includes the following information for each set of media files: |
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- **no_makeup**: link to the photo of a person without makeup, |
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- **with_makeup**: link to the photo of the person with makeup, |
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- **part**: body part of makeup's application, |
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- **gender**: gender of the person, |
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- **age**: age of the person, |
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- **country**: country of the person |
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# Images for makeup detection might be collected in accordance with your requirements. |
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/trainingdata-pro** |
