
# Anti-Spoofing dataset: replay
The dataset consists of 51,000+ videos of replay attacks from people from 157 countries. 
It is based on data from **Anti Spoofing Real Dataset**: https://huggingface.co/datasets/TrainingDataPro/anti-spoofing_Real. 
The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. 

The dataset includes: **replay attacks** - videos from Antispoofing Real filmed on the phone.

# 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=anti-spoofing_replay) 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:

- **live_video_id**: the unique identifier of the "Antispoofing Live" video
- **phone**: the device used to capture the replay video,
- **link**: the URL to access the replay video,
- **phone_video_payback**: the device used to play the "Antispoofing Live" video,
- **worker_id**: the identifier of the person who provided 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 line of the .csv file.*

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_replay) 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**
task_categories:video-classification language:en license:cc-by-nc-nd-4.0 finance legal code region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["video-classification"], "tags": ["finance", "legal", "code"], "dataset_info": {"features": [{"name": "live_video_id", "dtype": "string"}, {"name": "phone", "dtype": "string"}, {"name": "video_file", "dtype": "string"}, {"name": "phone_video_playback", "dtype": "string"}, {"name": "worker_id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5063, "num_examples": 30}], "download_size": 735628032, "dataset_size": 5063}}
TAGS
#task_categories-video-classification #language-English #license-cc-by-nc-nd-4.0 #finance #legal #code #region-us 


# Anti-Spoofing dataset: replay
The dataset consists of 51,000+ videos of replay attacks from people from 157 countries. 
It is based on data from Anti Spoofing Real Dataset: URL 
The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. 

The dataset includes: replay attacks - videos from Antispoofing Real filmed on the phone.

# Get the dataset

### This is just an example of the data

Leave a request on URL 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:

- live_video_id: the unique identifier of the "Antispoofing Live" video
- phone: the device used to capture the replay video,
- link: the URL to access the replay video,
- phone_video_payback: the device used to play the "Antispoofing Live" video,
- worker_id: the identifier of the person who provided 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 line of the .csv file.*

## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# Anti-Spoofing dataset: replay
The dataset consists of 51,000+ videos of replay attacks from people from 157 countries. 
It is based on data from Anti Spoofing Real Dataset: URL 
The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. 

The dataset includes: replay attacks - videos from Antispoofing Real filmed on the phone. # Get the dataset ### This is just an example of the data

Leave a request on URL 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:

- live_video_id: the unique identifier of the "Antispoofing Live" video
- phone: the device used to capture the replay video,
- link: the URL to access the replay video,
- phone_video_payback: the device used to play the "Antispoofing Live" video,
- worker_id: the identifier of the person who provided 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 line of the .csv file.* ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-video-classification #language-English #license-cc-by-nc-nd-4.0 #finance #legal #code #region-us 
 # Anti-Spoofing dataset: replay
The dataset consists of 51,000+ videos of replay attacks from people from 157 countries. 
It is based on data from Anti Spoofing Real Dataset: URL 
The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. 

The dataset includes: replay attacks - videos from Antispoofing Real filmed on the phone. # Get the dataset ### This is just an example of the data

Leave a request on URL 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:

- live_video_id: the unique identifier of the "Antispoofing Live" video
- phone: the device used to capture the replay video,
- link: the URL to access the replay video,
- phone_video_payback: the device used to play the "Antispoofing Live" video,
- worker_id: the identifier of the person who provided 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 line of the .csv file.* ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL