datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
forensic-fingerprint-dataset
Fingerprint Database
Dataset comprises 6,000+ fingerprint images from 100 individuals, with samples covering both hands and all ten fingers per person. It is designed for fingerprint identification, recognition systems, and forensic investigations, offering a robust resource for biometric data analysis, criminal investigations, and automated fingerprint matching.
By leveraging this dataset, researchers and law enforcement agencies can enhance fingerprint recognition algorithms… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/forensic-fingerprint-dataset.multi-material-fingerprint-spoofing
Fingerprint Spoofing
The dataset contains over 4,000+ photos from 100 people, consisting of fingerprints images and spoofing attacks created using various spoofing materials such as alginate, plasticine, and silicone. It serves as essential training data for biometric systems focused on fingerprint recognition and spoof detection.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in biometric security and spoof detection… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/multi-material-fingerprint-spoofing.biometric-fingerprint-spoofing
Fingerprint Spoofing
The dataset comprises 5,000+ high-quality fingerprint images collected from 100 individuals (ten fingers per person) captured using multiple fingerprint scanners and biometric sensors. 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.
By utilizing this data, researchers and… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/biometric-fingerprint-spoofing.residuals-fingerprints
RESIDUALS — LiDAR DEM residual fingerprints
39,716 residual images extracted by applying 593 distinct decomposition configurations × 25 upsampling methods to a single Fairfield County, Ohio LiDAR-derived Digital Elevation Model (1500×375 at 3.33 ft/px). Each row pairs a 256×256 PNG of the residual (rendered with the standard RdBu_r colormap, 99th-percentile symmetric clipping) with the algorithm and parameters that produced it, plus a 40-dim signature vector and pre-computed 2D/3D… See the full description on the dataset page: https://huggingface.co/datasets/bshepp/residuals-fingerprints.SIF-VLM-Fingerprint-Triggers
SIF and AGDI VLM Fingerprint Triggers
This public repository contains 12,000 model-specific visual fingerprint
trigger images for research on fingerprint transfer and robustness in Large
Vision-Language Models:
9,000 SIF baseline triggers generated with Ordinary, RNA, and PLA;
3,000 AGDI triggers generated for the same three base models.
Dataset configs
Config
Training model
Method
Rows
qwen2.5-vl-7b
Qwen/Qwen2.5-VL-7B-Instruct
Ordinary, RNA, PLA
3… See the full description on the dataset page: https://huggingface.co/datasets/autoRiver/SIF-VLM-Fingerprint-Triggers.anguli_fingerprints_5k
Anguli Fingerprints 5K Dataset
This dataset contains fingerprint images (5K unique IDs and 30 impressions each; total 155K) split into train and test sets.
Structure
The dataset is stored as sharded ZIP files for easier downloading and processing
Each shard contains up to 10000 files
Shards are organized in train_shards/ and test_shards/ folders
Extraction
To extract the shards back to the original structure:
import zipfile
import os
from pathlib import Path… See the full description on the dataset page: https://huggingface.co/datasets/pravsels/anguli_fingerprints_5k.finger_print_dataset
Latent Fingerprint Detection Dataset
The "Latent Fingerprint Detection Dataset" is an open image dataset designed to support the development of AI-based fingerprint detection and analysis systems. It contains fingerprint images collected using various detection methods on different surface types.
This dataset includes fingerprint samples detected using chemical and powder-based methods:
Ninhydrin - Chemical detection method
1,2-Indandione - Chemical detection method
Black Magnetic… See the full description on the dataset page: https://huggingface.co/datasets/K-University-AIED/finger_print_dataset.fingerprintFingerprint_split_90_10
Dataset Card for "Fingerprint_split_90_10"
More Information needed
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.fingerprint-datasetfinger_print_dataset
Latent Fingerprint Detection Dataset
The "Latent Fingerprint Detection Dataset" is an open image dataset designed to support the development of AI-based fingerprint detection and analysis systems. It contains fingerprint images collected using various detection methods on different surface types.
This dataset includes fingerprint samples detected using chemical and powder-based methods:
Ninhydrin - Chemical detection method
1,2-Indandione - Chemical detection method
Black Magnetic… See the full description on the dataset page: https://huggingface.co/datasets/K-Univ/finger_print_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.