datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
liveness-detection-dataset
Face Liveness Detection Dataset for Anti-Spoofing & PAD Certification
100,000+ spoofing videos for liveness detection
A comprehensive face liveness detection dataset for face anti-spoofing, biometric face recognition, and presentation attack detection (PAD) systems. Unlike narrow public benchmarks that cover only one or two attack types, this dataset combines all major presentation attack categories in a single resource: paper attacks, replay attacks, and 3D mask attacks (silicone… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/liveness-detection-dataset.Blockchain-Sensitive-Detect-Data
Blockchain-Sensitive-Detect-Data
English README
复旦大学附属儿科医院-区块链敏感信息检测项目的多模态完整测试数据集。
项目仓库：https://github.com/anyangsong/Blockchain-Sensitive-Detect
数据集：https://huggingface.co/datasets/anyangsong/Blockchain-Sensitive-Detect-Data
checkpoints：https://huggingface.co/anyangsong/Blockchain-Sensitive-Detect-Checkpoints
数据以原始文件夹组织，覆盖文本、音频、图像与视频等样本。
该仓库不提供统一的 CSV、Parquet 或 JSONL 清单；类别信息主要由目录名和文件名携带。
内容警告： 数据集包含辱骂、性内容、暴力、政治相关内容、误导性医疗信息、欺诈信息。使用者应仅在具备适当访问控制、伦理审查和当地法律依据的环境中处理这些内容。… See the full description on the dataset page: https://huggingface.co/datasets/anyangsong/Blockchain-Sensitive-Detect-Data.web-camera-face-liveness-detection
Web Camera Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under different lighting conditions and with different attributes (glasses, masks, hats, hoods, wigs, and mustaches for men).
The dataset is created on the basis of iBeta Level 1 Dataset
In the dataset, there are 7 types of videos filmed on a web camera:
Silicone Mask - demonstration of a silicone mask attack (silicone)
2D mask with… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/web-camera-face-liveness-detection.XMR_Demo_Industrial_Foreign_Object_Detection_Lentils
Demo for Hyperspectral Foreign-Object Detection in Lentils
Video spectroscopy beyond the visible spectrum, applied to foreign-object detection on a sliding lentil conveyor. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–910 nm, 1080 × 1000 pixels at 4 fps.
Foreign-object detection in food sorting is a general industrial-inspection problem — the rejected target could be a stone, a stem, a piece of packaging, a metal shard, or an insect. In this… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils.on-device-face-liveness-detection
Mobile Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under different lighting conditions and with different attributes (glasses, masks, hats, hoods, wigs, and mustaches for men).
The dataset is created on the basis of iBeta Level 1 Dataset
In the dataset, there are 4 types of videos filmed on mobile devices:
2D mask with holes for eyes - demonstration of an attack with a paper/cardboard… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/on-device-face-liveness-detection.hispanic-people-liveness-detection-video-dataset
Biometric Attack Dataset, Hispanic People
The similar dataset that includes all ethnicities - Anti Spoofing Real Dataset
The dataset for face anti spoofing and face recognition includes images and videos of hispanic people. 32,600+ photos & video of 16,300 people from 20 countries. 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… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/hispanic-people-liveness-detection-video-dataset.asian-people-liveness-detection-video-dataset
Biometric Attack Dataset, Asian People
The similar dataset that includes all ethnicities - Anti Spoofing Real Dataset
The dataset for face anti spoofing and face recognition includes images and videos of asian people. 30,600+ photos & video of 15,300 people from 32 countries. All people presented in the dataset are South Asian, East Asian or Middle Asian. The dataset helps in enchancing the performance of the model by providing wider range of data for a specific ethnic… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/asian-people-liveness-detection-video-dataset.caucasian-people-liveness-detection-dataset
Biometric Attack Dataset, Caucasian People
The similar dataset that includes all ethnicities - Anti Spoofing Real Dataset
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… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/caucasian-people-liveness-detection-dataset.black-people-liveness-detection-video-dataset
Biometric Attack Dataset, Black People
The similar dataset that includes all ethnicities - Anti Spoofing Real Dataset
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.
The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/black-people-liveness-detection-video-dataset.false_absence_detection_v01ClarusC64/false_absence_detection_v01
Dataset summary
This dataset tests whether models treat invisible entities as gone or still present.In each sequence, a target leaves the camera view.Some exits are real.Some are false absences with clear evidence that the target remains in the container.
Goal
check if models infer continued presence from indirect cues
avoid treating every disappearance as an exit
keep spatial grounding under occlusion and clutter
Key signals
absence_tag:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/false_absence_detection_v01.