license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
language:
- en
tags:
- finance
- code
dataset_info:
features:
- name: portrait_1
dtype: image
- name: worker_id
dtype: string
- name: age
dtype: int8
- name: country
dtype: string
- name: gender
dtype: string
splits:
- name: train
num_bytes: 42517034
num_examples: 14
download_size: 923699881
dataset_size: 42517034
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).
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.
In order to get access to 7344 media files from 272 people or to learn more about our data, please contact our sales team by submitting a request on our website https://trainingdata.pro/data-market?utm_source=huggingface or emaling us at sales@trainingdata.pro
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/trainingdata-pro