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@@ -6,7 +6,11 @@ task_categories:
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  - image-to-image
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  - image-classification
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  tags:
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- - code
 
 
 
 
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  dataset_info:
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  features:
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  - name: no_makeup
@@ -27,6 +31,8 @@ dataset_info:
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  num_examples: 26
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  download_size: 25248180
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  dataset_size: 25845965
 
 
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  ---
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  # Makeup Detection Dataset
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@@ -44,11 +50,7 @@ In photos without makeup, individuals have a bare face with no visible cosmetics
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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F19315db53167636ddd6d4e7c3a2b27c0%2FMacBook%20Air%20-%201.png?generation=1689876066594275&alt=media)
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- # Get the dataset
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-
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- ### This is just an example of the data
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-
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- 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.
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  # Content
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@@ -70,10 +72,10 @@ includes the following information for each set of media files:
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  # Images for makeup detection might be collected in accordance with your requirements.
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- ## [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
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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-datamarket/TrainingData_All_datasets**
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  *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*
 
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  - image-to-image
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  - image-classification
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  tags:
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+ - makeup dataset
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+ - Makeup Detection
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+ - before-makeup shot
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+ - face recognition
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+ - post-makeup
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  dataset_info:
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  features:
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  - name: no_makeup
 
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  num_examples: 26
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  download_size: 25248180
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  dataset_size: 25845965
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+ size_categories:
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+ - 1K<n<10K
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  ---
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  # Makeup Detection Dataset
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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F19315db53167636ddd6d4e7c3a2b27c0%2FMacBook%20Air%20-%201.png?generation=1689876066594275&alt=media)
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+ # 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/makeup-detection-dataset-female-images/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=makeup-detection-dataset)** to buy the dataset
 
 
 
 
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  # Content
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  # Images for makeup detection might be collected in accordance with your requirements.
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+ ## 💴 Buy the Dataset: This is just an example of the data. Leave a request on the [our website](https://unidata.pro/datasets/makeup-detection-dataset-female-images/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=makeup-detection-dataset) to discuss your requirements, learn about the price and buy the dataset
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+ ### This is just an example of the data
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+ ## [Our Team](https://unidata.pro/datasets/makeup-detection-dataset-female-images/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=makeup-detection-dataset) provides high-quality data annotation tailored to your needs
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  *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*