task_categories:image-to-image language:en license:cc-by-nc-nd-4.0 finance code region:us
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).
@InProceedings{huggingface:dataset,
title = {portrait_and_26_photos},
author = {TrainingDataPro},
year = {2023}
}
---
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: photo_1
    dtype: image
  - name: photo_2
    dtype: image
  - name: photo_3
    dtype: image
  - name: photo_4
    dtype: image
  - name: photo_5
    dtype: image
  - name: photo_6
    dtype: image
  - name: photo_7
    dtype: image
  - name: photo_8
    dtype: image
  - name: photo_9
    dtype: image
  - name: photo_10
    dtype: image
  - name: photo_11
    dtype: image
  - name: photo_12
    dtype: image
  - name: photo_13
    dtype: image
  - name: photo_14
    dtype: image
  - name: photo_15
    dtype: image
  - name: photo_16
    dtype: image
  - name: photo_17
    dtype: image
  - name: photo_18
    dtype: image
  - name: photo_19
    dtype: image
  - name: photo_20
    dtype: image
  - name: photo_21
    dtype: image
  - name: photo_22
    dtype: image
  - name: photo_23
    dtype: image
  - name: photo_24
    dtype: image
  - name: photo_25
    dtype: image
  - name: photo_26
    dtype: image
  - name: worker_id
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  - name: gender
    dtype: string
  splits:
  - name: train
    num_bytes: 927211725
    num_examples: 14
  download_size: 923699881
  dataset_size: 927211725
---

# 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).

# 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=portrait_and_26_photos) to discuss your requirements, learn about the price and buy the dataset.

# 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**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos) 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**