Licensed dataset
Dataset for training a neural network in face recognition and identification tasks using selfie and 26 photos of a person.

Portrait 26 Photos Dataset

Enables computer systems to automatically learn from data and make predictions
Machine Learning
Process of identifying a specific entity across different data
Re-identification
Gathering data for subsequent annotation
Data Collection
Process of identifying or verify a person identity using facial features
Facial Recognition
7 344
photos
272
people
19.3
GB
10/10
Kaggle usability
Technical specifications
26 photos from life
  • Photos from everyday life include pictures taken in different locations, with different people, but a person from the Selfie Portrait is always present on all of them.

  • Everyday life photos have different formats. There are photos captured with the phone, group photos, holiday photos. A person in the photos can be moving or expressing emotions. However, he or she is present in all the photos and his/her face can be easily recognized.
Selfie portrait has strict criteria:
  • the photo is cropped above shoulders,

  • the person is depicted alone,

  • there are no sunglasses or a medical mask on the face,

  • calm expression, no smiling
Metadata:
1.
Person’s ID
2.
Age
3.
Country of origin of the person
4.
Gender
5.
File type
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