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TrainingDataPro/caucasian-people-liveness-detection-dataset

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Hugging Face2024-04-25 更新2024-04-19 收录
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https://hf-mirror.com/datasets/TrainingDataPro/caucasian-people-liveness-detection-dataset
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--- license: cc-by-nc-nd-4.0 task_categories: - image-to-image - image-classification - image-segmentation - image-feature-extraction - object-detection language: - en tags: - legal - finance - code --- # Biometric Attack Dataset, Caucasian People # The similar dataset that includes all ethnicities - [Anti Spoofing Real Dataset](https://trainingdata.pro/datasets/anti-spoofing-real/?utm_source=huggingface&utm_medium=cpc&utm_campaign=caucasian-people-liveness-detection) The dataset for face anti spoofing and face recognition includes images and videos of сaucasian people. The dataset helps in enchancing the performance of the model by providing wider range of data for a specific ethnic group. 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. 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. ### People in the dataset ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F09524087833ccb985350545376670f7d%2FFrame%20102.png?generation=1712318079960855&alt=media) ### Types of files in the dataset: - **photo** - selfie of the person - **video** - real video of the person 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. # 💴 For Commercial Usage: Full version of the dataset includes 19,000 files, leave a request on **[TrainingData](https://trainingdata.pro/datasets/caucasian-people-video?utm_source=huggingface&utm_medium=cpc&utm_campaign=caucasian-people-liveness-detection)** to buy the dataset ### Metadata for the full dataset: - **assignment_id** - unique identifier of the media file - **worker_id** - unique identifier of the person - **age** - age of the person - **true_gender** - gender of the person - **country** - country of the person - **ethnicity** - ethnicity of the person - **video_extension** - video extensions in the dataset - **video_resolution** - video resolution in the dataset - **video_duration** - video duration in the dataset - **video_fps** - frames per second for video in the dataset - **photo_extension** - photo extensions in the dataset - **photo_resolution** - photo resolution in the dataset ### Statistics for the dataset ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F0b17f6b68aea01fda89c4608db97a94f%2FFrame%20101.png?generation=1712314613427348&alt=media) # 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/caucasian-people-video?utm_source=huggingface&utm_medium=cpc&utm_campaign=caucasian-people-liveness-detection) to learn about the price and buy the dataset** # Content The dataset consists of: - **files** - includes 10 folders corresponding to each person and including 1 image and 1 video, - **.csv file** - contains information about the files and people in the dataset ### File with the extension .csv - **id**: id of the person, - **selfie_link**: link to access the photo, - **video_link**: link to access the video, - **age**: age of the person, - **country**: country of the person, - **gender**: gender of the person, - **video_extension**: video extension, - **video_resolution**: video resolution, - **video_duration**: video duration, - **video_fps**: frames per second for video, - **photo_extension**: photo extension, - **photo_resolution**: photo resolution ## **[TrainingData](https://trainingdata.pro/datasets/caucasian-people-video?utm_source=huggingface&utm_medium=cpc&utm_campaign=caucasian-people-liveness-detection)** 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** *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*
提供机构:
TrainingDataPro
原始信息汇总

Biometric Attack Dataset, Caucasian People

数据集概述

  • 任务类别:image-to-image, image-classification, image-segmentation, image-feature-extraction, object-detection
  • 语言:英语
  • 标签:legal, finance, code

数据集内容

  • 数据类型:包含图像和视频,主要为白种人面部反欺骗和识别数据。
  • 文件类型
    • photo:个人自拍照片
    • video:个人真实视频
  • 数据特点:具有多种分辨率、视角和颜色,适用于反欺骗技术的研究。

数据集用途

  • 通过提供特定族群的广泛数据,增强模型性能。
  • 探索使用深度神经网络等神经架构,识别面部不同区域的独特模式和纹理,提高反欺骗模型的准确性和泛化能力。

数据集详细信息

  • 元数据
    • assignment_id:媒体文件的唯一标识符
    • worker_id:个人的唯一标识符
    • age:个人年龄
    • true_gender:个人性别
    • country:个人国籍
    • ethnicity:个人种族
    • video_extension:视频文件扩展名
    • video_resolution:视频分辨率
    • video_duration:视频时长
    • video_fps:视频每秒帧数
    • photo_extension:照片文件扩展名
    • photo_resolution:照片分辨率
  • 统计信息:数据集的详细统计信息未在README中提供。

数据集结构

  • 文件组织:包括10个文件夹,每个文件夹对应一个人,包含1张图片和1个视频。
  • .csv文件:包含数据集中的文件和人员信息,包括:
    • id:个人ID
    • selfie_link:照片访问链接
    • video_link:视频访问链接
    • age:年龄
    • country:国籍
    • gender:性别
    • video_extension:视频扩展名
    • video_resolution:视频分辨率
    • video_duration:视频时长
    • video_fps:视频每秒帧数
    • photo_extension:照片扩展名
    • photo_resolution:照片分辨率

商业使用

  • 完整版本:包含19,000个文件,需在TrainingData网站上提出购买请求。

许可证

  • 许可证:cc-by-nc-nd-4.0
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