--- license: cc-by-nc-nd-4.0 task_categories: - video-classification language: - en tags: - finance - legal - code dataset_info: features: - name: video_file dtype: string - name: assignment_id dtype: string - name: worker_id dtype: string - name: gender dtype: string - name: age dtype: uint8 - name: country dtype: string - name: resolution dtype: string splits: - name: train num_bytes: 1547 num_examples: 10 download_size: 623356178 dataset_size: 1547 --- # High Resolution Live Attacks - Biometric Attack dataset The anti spoofing dataset includes live-recorded Anti-Spoofing videos from around the world, captured via **high-quality** webcams with Full HD resolution and above. 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 **views, and colors**, making it a comprehensive resource for researchers working on anti-spoofing technologies. # 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/full-hd-webcam-attacks?utm_source=huggingface&utm_medium=cpc&utm_campaign=high_quality_webcam_video_attacks)** to buy the dataset ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F1ffb68e96724140488b944b22c68580c%2F(1).png?generation=1684702390091084&alt=media) The dataset provides data to combine and apply different techniques, approaches, and models to address the challenging task of distinguishing between genuine and spoofed inputs, providing effective anti-spoofing solutions in active authentication systems. These solutions are crucial as newer devices, such as phones, have become vulnerable to spoofing attacks due to the availability of technologies that can create replays, reflections, and depths, making them susceptible to spoofing and generalization. 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. # Webcam Resolution The collection of different video resolutions from Full HD (1080p) up to 4K (2160p) is provided, including several intermediate resolutions like QHD (1440p) ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc07c45d6c6558291a2923d24eeb43d1b%2FResoluo-de-tela-sem-imagem.webp?generation=1684703424049108&alt=media) # 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`. # 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/full-hd-webcam-attacks?utm_source=huggingface&utm_medium=cpc&utm_campaign=high_quality_webcam_video_attacks)** to discuss your requirements, learn about the price and buy the dataset ## **[TrainingData](https://trainingdata.pro/datasets/full-hd-webcam-attacks?utm_source=huggingface&utm_medium=cpc&utm_campaign=high_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** *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, human video dataset, video dataset, high quality video dataset, hd video dataset, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset*