Facial Hair Classification & Object Detection dataset

The Facial Hair Classification Dataset is a comprehensive collection of high-resolution images showcasing individuals with and without a beard. The dataset includes a diverse range of individuals of various ages, ethnicities, and genders.

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The dataset also contains images of individuals without facial hair, serving as a valuable reference for comparison and contrast. These images showcase clean-shaven faces, enabling research into distinguishing facial hair patterns from those without any beard growth.

Each image in the dataset is carefully curated to showcase the subject's face prominently and with optimal lighting conditions, ensuring clarity and accuracy in the classification and analysis of facial hair presence.

Types of photos in the dataset:

beard - photos of people with a beard.
no beard - photos of people without a beard.

The Facial Hair Classification Dataset offers a robust collection of images that accurately represent the diverse range of facial hair styles found in the real world. This dataset provides ample opportunities for training facial recognition algorithms, identifying facial hair patterns, and conducting research on facial hair classification and analysis.

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

Content

The dataset is splitted in three folders: train, validate and test to build a classification model.

Each of these folders includes:

beard folder: includes photos of people with a beard
no_beard folder: includes photos of people without a beard

File with the extension .csv

file: link to access the media file,
type: does a person has or has not a beard

Files for Facial Hair Classification might be collected in accordance with your requirements.

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More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

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keywords: facial hair classification, image classification, mustaches, beard detection, beard segmentation, beard recognition, biometric dataset, biometric data dataset,face detection dataset, facial analysis, human images dataset, face images, multi-task learning approach, facial hair types

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