Datasets:
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).
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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 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