---
license: cc-by-nc-nd-4.0
dataset_info:
  features:
  - name: photo_1
    dtype: image
  - name: photo_2
    dtype: image
  - name: video_3
    dtype: string
  - name: video_4
    dtype: string
  - name: photo_5
    dtype: image
  - name: photo_6
    dtype: image
  - name: video_7
    dtype: string
  - name: video_8
    dtype: string
  - name: set_id
    dtype: string
  - name: worker_id
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  - name: gender
    dtype: string
  splits:
  - name: train
    num_bytes: 49771508
    num_examples: 10
  download_size: 829589647
  dataset_size: 49771508
---
# Selfies and video dataset
4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone. In addition, people recorded video from the phone and from the webcam, on which they pronounced a given set of numbers.
Includes folders corresponding to people in the dataset. Each folder includes 8 files (4 images and 4 videos).

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

# File with the extension .csv
includes the following information for each media file:

- **SetId**: a unique identifier of a set of 8 media files,
- **WorkerId**: the identifier of the person who provided the media file,
- **Country**: the country of origin of the person,
- **Age**: the age of the person,
- **Gender**: the gender of the person,
- **Type**: the type of media file
- **Link**: the URL to access the media file


# Folder "img" with media files
- containg all the photos and videos
- 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 8 lines of the .csv file.*

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