README.md

---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- video-classification
- image-to-image
language:
- en
tags:
- legal
---

# Selfie and Video on Back Camera Dataset
The dataset consists of selfies and video of real people made on a back camera of the smartphone. 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. 
- **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%2Fcb68f607125c83bb97b5e7a4e6edf519%2FMacBook%20Air%20-%201%20(1).png?generation=1688132311367523&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
### Phone models in the datset:
- iPhone 13 mini 
- iPhone 11
- iPhone XR 
- iPhone 8 plus 
- Samsung A80 
- Samsung galaxy A51 5G
- Samsung A32
- Samsung Galaxy S10 5G 


### 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**