---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
- image-to-image
language:
- en
tags:
- legal
dataset_info:
  features:
  - name: photo
    dtype: image
  - name: video
    dtype: string
  - name: phone
    dtype: string
  - name: gender
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  splits:
  - name: train
    num_bytes: 34728975
    num_examples: 8
  download_size: 195022198
  dataset_size: 34728975
---
# Anti-Spoofing Real Waist-High Dataset
The dataset consists of waist-high selfies and video of real people. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

### The dataset includes 2 different types of files:
- **Photo** - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible. Person is presented waist-high.
- **Video** - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F20291c08c69f18a9a8c75fc73e47927c%2FMacBook%20Air%20-%201.png?generation=1688118876746794&alt=media)


# Get the Dataset
This is just an example of the data. If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**


# Content
- The folder **"photo"** includes selfies of people
- The folder **"video"** includes videos of people


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

- **photo**: link to access the selfie,
- **video**: link to access the video,
- **phone**: the device used to capture selfie and video,
- **gender**: gender of a person,
- **age**: age of the person,
- **country**: country of the person

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