task_categories:image-to-image license:cc-by-nc-nd-4.0 code region:us
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.
@InProceedings{huggingface:dataset,
title = {selfies_and_id},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
tags:
- code
dataset_info:
  features:
  - name: id_1
    dtype: image
  - name: id_2
    dtype: image
  - name: selfie_1
    dtype: image
  - name: selfie_2
    dtype: image
  - name: selfie_3
    dtype: image
  - name: selfie_4
    dtype: image
  - name: selfie_5
    dtype: image
  - name: selfie_6
    dtype: image
  - name: selfie_7
    dtype: image
  - name: selfie_8
    dtype: image
  - name: selfie_9
    dtype: image
  - name: selfie_10
    dtype: image
  - name: selfie_11
    dtype: image
  - name: selfie_12
    dtype: image
  - name: selfie_13
    dtype: image
  - name: user_id
    dtype: string
  - name: set_id
    dtype: string
  - name: user_race
    dtype: string
  - name: name
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  - name: gender
    dtype: string
  splits:
  - name: train
    num_bytes: 376371811
    num_examples: 10
  download_size: 374658409
  dataset_size: 376371811
---
# 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**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) to discuss your requirements, learn about the price and buy the dataset.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) 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**