id_1
image
id_2
image
selfie_1
image
selfie_2
image
selfie_3
image
selfie_4
image
selfie_5
image
selfie_6
image
selfie_7
image
selfie_8
image
selfie_9
image
selfie_10
image
selfie_11
image
selfie_12
image
selfie_13
image
user_id
string
set_id
string
user_race
string
name
string
age
int8
20
45
country
string
gender
string
"b06fb23bae350a9c595fd07a51969f21"
"0001cd5386--61b71cd57152d43f4966ba02"
"Caucasian"
"Ivan"
29
"RU"
"MALE"
"ca642329b6f349d09fe0f68349fe622c"
"0001cd5386--61b7215cfdcfd4545892bdb9"
"Caucasian"
"Nina"
34
"UA"
"FEMALE"
"293c9a3527ed91c568f2917a82d15c1c"
"0001cd5386--61b496968fd99a3d42d2e42d"
"Caucasian"
"Aleksej"
43
"RU"
"MALE"
"9a7a22cc4cd50778e2351aae0307fb49"
"0001cd5386--61b921cd81a1d65a7c93bc82"
"Caucasian"
"Irina "
20
"MD"
"FEMALE"
"17f6906b1961753a73ddbe79830a07fc"
"0001cd5386--61b3b6c3807ed943cc2a2def"
"Caucasian"
"Ljutsija"
20
"RU"
"FEMALE"
"5e0867f19b4dd3435afe0248051a0661"
"0001cd5386--61b730bef7b2ee6c7531a927"
"Caucasian"
"Darja"
28
"RU"
"FEMALE"
"6b7acb1eeefc4e13e966618c585c7659"
"0001cd5386--61b866bd37af7f59e20e9d73"
"Caucasian"
"Margarita "
26
"RU"
"FEMALE"
"ac278e44f566c3fa77aac54f00d16d4f"
"0001cd5386--61b8329cc28d553852e15cd3"
"Caucasian"
"Tatjana"
31
"RU"
"FEMALE"
"37b2f811994319210e7b3a6b2d232352"
"0001cd5386--61b9cc72610135210b24efdc"
"Caucasian"
"Sergej"
45
"RU"
"MALE"
"40f62929254b601abb6e1083a56f1f03"
"0001cd5386--61b8792d8bad076f2cd07d96"
"Caucasian"
"Irina"
25
"RU"
"FEMALE"

Selfies, ID Images dataset

4083 sets, which includes 2 photos of a person from his documents and 13 selfies. 571 sets of Hispanics and 3512 sets of Caucasians.

Photo documents contains only a photo of a person. All personal information from the document is hidden

File with the extension .csv

includes the following information for each media file:

  • SetId: a unique identifier of a set of 15 media files,
  • UserId: the identifier of the person who provided the media file,
  • UserRace: the ethnicity of the person
  • Country: the country of origin of the person,
  • Age: the age of the person,
  • Gender: the gender of the person,
  • Name: the name of the person
  • FName: the type of the media file
  • URL: 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 first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first 15 lines of the .csv file.

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.

**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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