Datasets:
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license: cc-by-nc-nd-4.0
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license: cc-by-nc-nd-4.0
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---
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# Biometric Attack Dataset, Black People
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# The similar dataset that includes all ethnicities - [Anti Spoofing Real Dataset](https://trainingdata.pro/data-market/anti-spoofing-real/?utm_source=huggingface&utm_medium=cpc&utm_campaign=black-people-liveness-detection)
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The dataset for face anti spoofing and face recognition includes images and videos of black people. The dataset helps in enchancing the performance of the model by providing wider range of data for a specific ethnic group.
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The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes a novel approach that learns and detects spoofing techniques, extracting features from the genuine facial images to prevent the capturing of such information by fake users.
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The dataset contains images and videos of real humans with various **resolutions, views, and colors**, making it a comprehensive resource for researchers working on anti-spoofing technologies.
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### People in the dataset
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### Types of files in the dataset:
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- **photo** - selfie of the person
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- **video** - real video of the person
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Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models.
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# 💴 For Commercial Usage: Full version of the dataset includes 15,000 files, leave a request on **[TrainingData](https://trainingdata.pro/data-market/black-african-people-video-dataset?utm_source=huggingface&utm_medium=cpc&utm_campaign=black-people-liveness-detection)** to buy the dataset
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### Metadata for the full dataset:
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- **assignment_id** - unique identifier of the media file
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- **worker_id** - unique identifier of the person
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- **age** - age of the person
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- **true_gender** - gender of the person
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- **country** - country of the person
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- **ethnicity** - ethnicity of the person
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- **video_extension** - video extensions in the dataset
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- **video_resolution** - video resolution in the dataset
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- **video_duration** - video duration in the dataset
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- **video_fps** - frames per second for video in the dataset
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- **photo_extension** - photo extensions in the dataset
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- **photo_resolution** - photo resolution in the dataset
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### Statistics for the dataset
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market/black-african-people-video-dataset?utm_source=huggingface&utm_medium=cpc&utm_campaign=black-people-liveness-detection) to learn about the price and buy the dataset**
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# Content
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The dataset consists of:
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- **files** - includes 10 folders corresponding to each person and including 1 image and 1 video,
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- **.csv file** - contains information about the files and people in the dataset
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### File with the extension .csv
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- **id**: id of the person,
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- **selfie_link**: link to access the photo,
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- **video_link**: link to access the video,
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- **age**: age of the person,
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- **country**: country of the person,
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- **gender**: gender of the person,
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- **video_extension**: video extension,
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- **video_resolution**: video resolution,
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- **video_duration**: video duration,
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- **video_fps**: frames per second for video,
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- **photo_extension**: photo extension,
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- **photo_resolution**: photo resolution
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## **[TrainingData](https://trainingdata.pro/data-market/black-african-people-video-dataset?utm_source=huggingface&utm_medium=cpc&utm_campaign=black-people-liveness-detection)** provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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*keywords: liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, ibeta dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset*
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