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metadata
license: cc-by-nc-nd-4.0
task_categories:
  - image-to-image
  - image-feature-extraction
  - image-classification
language:
  - en
tags:
  - finance
  - code
  - legal
  - biology
dataset_info:
  features:
    - name: portrait_1
      dtype: image
    - name: photo_1
      dtype: image
    - name: photo_2
      dtype: image
    - name: photo_3
      dtype: image
    - name: photo_4
      dtype: image
    - name: photo_5
      dtype: image
    - name: photo_6
      dtype: image
    - name: photo_7
      dtype: image
    - name: photo_8
      dtype: image
    - name: photo_9
      dtype: image
    - name: photo_10
      dtype: image
    - name: photo_11
      dtype: image
    - name: photo_12
      dtype: image
    - name: photo_13
      dtype: image
    - name: photo_14
      dtype: image
    - name: photo_15
      dtype: image
    - name: photo_16
      dtype: image
    - name: photo_17
      dtype: image
    - name: photo_18
      dtype: image
    - name: photo_19
      dtype: image
    - name: photo_20
      dtype: image
    - name: photo_21
      dtype: image
    - name: photo_22
      dtype: image
    - name: photo_23
      dtype: image
    - name: photo_24
      dtype: image
    - name: photo_25
      dtype: image
    - name: photo_26
      dtype: image
    - name: worker_id
      dtype: string
    - name: age
      dtype: int8
    - name: country
      dtype: string
    - name: gender
      dtype: string
  splits:
    - name: train
      num_bytes: 927211725
      num_examples: 14
  download_size: 923699881
  dataset_size: 927211725

The Portrait and 26 Photos (272 people), faces dataset

Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, ..., photo_26).

πŸ’΄ For Commercial Usage: Full version of the dataset includes 7,300+ photos of people, leave a request on TrainingData to buy the dataset

Metadata for the full dataset:

  • assignment_id - unique identifier of the media file
  • worker_id - unique identifier of the person
  • age - age of the person
  • true_gender - gender of the person
  • country - country of the person
  • ethnicity - ethnicity of the person
  • photo_1_extension, photo_2_extension, …, photo_26_extension, portrait_1_extension - photo extensions in the dataset
  • photo_1_resolution, photo_2_resolution, …, photo_26_resolution, portrait_1_resolution - photo resolution in the dataset

πŸ’΄ 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

The Portrait

The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:

  • The person is pictured alone;
  • Shoulder-length photo;
  • No sunglasses or medical mask on the face;
  • The face is calm, with no smiling or gesturing.

26 Photos

The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends.

TrainingData 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

keywords: biometric system, biometric system attacks, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, supervised learning dataset, person re-identification, person re-identification dataset, person re-Identification by photo, person re-ID dataset