task_categories:video-classification language:en license:cc-by-nc-nd-4.0 finance legal code region:us
The dataset includes live-recorded Anti-Spoofing videos from around the world,
captured via low-quality webcams with resolutions like QVGA, QQVGA and QCIF.
@InProceedings{huggingface:dataset,
title = {low_quality_webcam_video_attacks},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- finance
- legal
- code
---

# Low Quality Live Attacks
The dataset includes live-recorded Anti-Spoofing videos from around the world, captured via **low-quality** webcams with resolutions like QVGA, QQVGA and QCIF.

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

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F43bc66b1f16995fb42f10075db8f9ba5%2F4.png?generation=1684704084546644&alt=media)

# Webcam Resolution
The collection of different video resolutions is provided, like:
- QVGA (320p x 240p), 
- QQVGA (120p x 160p),
- QCIF (176p x 144p) and others.

# Metadata

Each attack instance is accompanied by the following details:

- Unique attack identifier
- Identifier of the user recording the attack
- User's age
- User's gender
- User's country of origin
- Attack resolution

Additionally, the model of the webcam is also specified.

Metadata is represented in the `file_info.csv`.

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