portrait_1
image
photo_1
image
photo_2
image
photo_3
image
photo_4
image
photo_5
image
photo_6
image
photo_7
image
photo_8
image
photo_9
image
photo_10
image
photo_11
image
photo_12
image
photo_13
image
photo_14
image
photo_15
image
photo_16
image
photo_17
image
photo_18
image
photo_19
image
photo_20
image
photo_21
image
photo_22
image
photo_23
image
photo_24
image
photo_25
image
photo_26
image
worker_id
string
age
int8
18
48
country
string
gender
string
"00fc9846ff346dcc73d8ed05d7766bcb"
39
"PH"
"FEMALE"
"0105515592348cc19375278371f65fd2"
31
"IN"
"MALE"
"0639f062ebee7f31ccafb5e2bcb570ef"
30
"PK"
"MALE"
"06421a0f6347119bd7c73631e4888bbe"
20
"IN"
"MALE"
"078f58fe3282e05aa9ec45de1d300725"
22
"PH"
"FEMALE"
"091bf0849dbdc353cd5cc31a811cf13d"
48
"PK"
"MALE"
"0bc744379cd05bc4d4f526405808073e"
28
"PK"
"MALE"
"0c37e22e51e6e29c38f05b87cc7a23e2"
18
"IN"
"FEMALE"
"0e8ee63df42e6ace20f61749b4f6274b"
29
"PH"
"MALE"
"0efc517454612e3e80624b95b93fc5d0"
19
"PH"
"FEMALE"
"0ff4d24098b3110ecfc0a7198e080a4b"
24
"BY"
"FEMALE"
"1067911ca113c7980cd12b5b3ea4af54"
35
"PH"
"FEMALE"
"10b32095dd911e24bfc46d2c4e23b5aa"
28
"NP"
"MALE"
"10dc56f24b708a7338aa018d5099555e"
27
"NG"
"MALE"

The Portrait and 26 Photos (272 people)

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).

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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.

File with the extension .csv

includes the following information for each media file:

  • WorkerId: the identifier of the person who provided the media file,
  • Age: the age of the person,
  • Country: the country of origin of the person,
  • Gender: the gender of the person,
  • Type: a unique identifier of a set of 26 media files,
  • Link: the URL to access the media file

Folder "img" with media files

  • containg all the photos
  • which correspond to the data in the .csv file

How it works: go to the folder “0ff4d24098b3110ecfc0a7198e080a4b” and you will make sure that it contains media files taken by a person whose parameters are specified in the first 27 lines of the .csv file.

**TrainingData**

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

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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