datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
body-measurements-image-dataset
Body Measurements Image Dataset - 13,000 Images
Dataset consists of 13,000+ standardized photos of 1,000+ people, offering a robust resource for body measurements estimation, human body analysis, and personalized sizing recommendations in e-commerce. Each subject is captured in front and side poses with paired 17+ anthropometric measurements, enabling precise shape estimation, weight prediction, and body characteristics detection.— Get the data
Dataset characteristics:… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/body-measurements-image-dataset.open-palm-hand-images
Palm Dataset - 500,000 Images
Dataset comprises 500,000 high-quality images featuring diverse human hands, specifically designed for hand detection, palm recognition, and gesture analysis. It provides diverse training data with metadata on age, gender, and ethnicity for accurate computer vision model training.— Get the data
Dataset characteristics:
Characteristic
Data
Description
Open palm images designed for training and evaluating hand-based… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/open-palm-hand-images.Anti-Spoofing-Real-Videos
Face Anti Spoofing Dataset - 98 000+ files
Dataset features 98,000+ files of real photos and videos of people from 170+ countries, representing 70,000+ unique individuals. By leveraging this dataset, developers can enhance spoofing detection techniques, improve recognition systems, and deploy anti-spoofing algorithms capable of preventing fraud in deep learning-based solutions.- Get the data
Dataset characteristics:
Characteristic
Data
Description
Live… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/Anti-Spoofing-Real-Videos.biometric-fingerprint-spoofing
Fingerprint Spoofing Dataset 5,000 photos
Dataset contains 5,000+ high-quality fingerprint images capturing real fingerprints and multiple spoofing fingerprint attack types, including print and replay scenarios. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.- Get the data
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/biometric-fingerprint-spoofing.hand-gesture-recognition
Movement Recognition Dataset - 10k+ videos
Dataset comprises 10,000+ videos of people demonstrating 5 distinct hand gestures, designed for advancing gesture recognition systems and improving recognition technology. It is ideal for training real-time recognition software, improving control systems, and exploring 3D models of hand pose and finger movements. - Get the data
Dataset characteristics:
Characteristic
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Description
Each video shows a person… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/hand-gesture-recognition.ear-detection-dataset
Ear Detection - 14,000+ Images
The dataset comprises 14,000+ ear images from 2,000 unique individuals, paired with reference face photos and demographic labels. Designed for ear recognition and biometric identification, it helps research in human ear detection, recognition accuracy, and biometric systems.— Get the data
Dataset characteristics:
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Data
Description
Images of an ear with a face photo
Data types
Image
Tasks
Ear‑biometric R&D… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/ear-detection-dataset.Selfie-and-ID-Dataset
Document Dataset - 65,000+ photos
The dataset contains 65,000+ photos of 5,000+ people from 40+ countries, featuring selfie images paired with identity documents for facial recognition, Know Your Customer (KYC), and re-identification tasks. It is designed to enhance verification systems, improve recognition models, and support biometric research. — Get the data
Dataset characteristics:
Characteristic
Data
Description
Photos of individuals and their… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/Selfie-and-ID-Dataset.kids-and-teens-selfie-dataset
Age Estimation - 6,000 Photos
Dataset contains 9,000 high-quality facial images of children and teenagers aged 7–15, designed for age estimation, facial recognition, and anti-spoofing research. Its primary application is supporting the development of robust age estimation models, improving facial analysis for younger demographics, and studying social media usage patterns. — Get the data
Dataset characteristics:
Characteristic
Data
Description
Photos of… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/kids-and-teens-selfie-dataset.multi-material-fingerprint-spoofing
Fingerprint Spoofing Dataset 4,000 photos
The dataset contains 4,000+ fingerprint images from 100 individuals, captured with a ZKTeco ZK9500 optical scanner and including real fingerprints and spoofing attacks created with alginate, plasticine, and silicone materials. It includes metadata (gender, age, finger, hand, device) and supports biometric security research, presentation attack detection, spoof detection, and fingerprint recognition model training.- Get the data… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/multi-material-fingerprint-spoofing.