datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
search-evalface-anti-spoofing-dataset
Face Antispoofing dataset for liveness detection
Anti-Spoofing dataset: live, replay, cut, print, 3D masks - large-scale face anti spoofing
This dataset delivers a single, end-to-end resource for training and benchmarking facial liveness-detection systems. By aggregating live sessions and eleven realistic presentation-attack classes into one collection, it accelerates development toward iBeta Level 1/2 compliance and strengthens model robustness against the full spectrum of spoofing… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/face-anti-spoofing-dataset.LogoDet-3K
Dataset Card for LogoDet-3K
LogoDet-3K dataset aims on logotype (image) detection task.
Dataset Description
LogoDet-3K consists of thousand images with brands' logotypes and their bounding boxes. This dataset aims to help train logotype detection models.
License: MIT
Dataset Usage
You can download this dataset by the following command (make sure that you have installed Huggingface Datasets):
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/axonstan/LogoDet-3K.ibeta-level-1-certification
iBeta Level 1 Dataset for Face Anti-Spoofing & Liveness Detection
A presentation attack dataset for iBeta Level 1 PAD certification preparation, built for face anti-spoofing, liveness detection, and biometric face recognition systems. The dataset contains 30,000+ attack videos covering all major Level 1 attack vectors: printed photo attacks, cutout paper masks, eyeholes masks, cylinder paper masks, photo masks worn by actors, and display-based replay
attacks
What Is iBeta… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/ibeta-level-1-certification.winther-g6-axons
SubstrateCommons/winther-g6-axons
Replay packs (.rpk) built with dmipy_sim: one converged Monte-Carlo walk each, stored so any acquisition can be replayed on it. Load one with ReplayPack.load("hf://SubstrateCommons/winther-g6-axons/<path>"); the manifest (manifest.json) holds the sha256 every load is checked against. This file is rendered from the manifest by dmipy_sim.replay.publish.
Substrate
winther/G6/axon06
box: 11.5259 × 10.405 × 154.766 µm
boundary: open… See the full description on the dataset page: https://huggingface.co/datasets/SubstrateCommons/winther-g6-axons.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.iBeta-Level-2-Certification-Dataset
iBeta Level 2 Dataset - 25,000+ 3D Mask Attack Videos
Comprehensive biometric dataset for iBeta Level 2 liveness detection training and anti-spoofing research. Emphasis on 3D attacks (masks) and movements for Active liveness (zoom-in/zoom-out, micro-movements), high variability of devices and conditions, high diversity of subjects
Spoofing Attack Types:
Silicone Mask Attacks
Latex Mask Attacks
Wrapped 3D Paper Mask Attacks
Advanced Paper Mask Attacks
Cloth 3D Face Mask… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/iBeta-Level-2-Certification-Dataset.Replay_attack_mobile
Liveness Detection Replay Dataset (3K+ Attacks, 1.5K People)
iBeta Level 1 Dataset
Liveness detection dataset of Replay attacks performed on Mobile devices. This dataset consists of 1,500 individuals who provided selfies, followed by 3,000 replay display attacks executed across 15 different mobile devices. These attacks are captured from a diverse range of devices, spanning low, medium, and high-end mobile phones, providing extensive variation in screen types, lighting… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Replay_attack_mobile.AxonEM
AxonEM Dataset
Large-scale 3D Axon Instance Segmentation of Brain Cortical Regions from serial section Electron Microscopy (sEM).
Dataset Description
AxonEM contains high-resolution electron microscopy volumes of mouse and human brain cortex tissue for axon instance segmentation.
Subsets
Subset
Species
Volumes
Resolution
Original Size
Human
Homo sapiens
9
30×8×8 nm
1000×4096×4096
Mouse
Mus musculus
9
40×8×8 nm
750×4096×4096… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/AxonEM.webshop_instructions3D_paper_mask_attack_dataset_for_Liveness
Liveness Detection Dataset: 3D Paper Mask Attacks
Paper mask attack dataset for training PAD and liveness detection models against low-cost 3D spoofing — 2,000+ videos on iOS and Android, ISO 30107-3 Level 1/2 attack category
What This Dataset Covers
2,000+ video recordings of 3D paper mask presentation attacks — masks with volumetric elements that simulate facial depth. Captured on iOS and Android devices, ~7 sec per video, with zoom-in/zoom-out phases for active… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/3D_paper_mask_attack_dataset_for_Liveness.Eval-MATH500Selfie_and_Official_ID_Photo_Dataset12,000+ people, 150,000+ images. Selfie with ID dataset for KYC verification, face identification and biometric training. Selfies paired with 2 official ID photos (passport, ID card, driver's license, residence permit). 10-15 photos per person with balanced demographics across ethnicity (Caucasian, Black, Asian, Latin American), gender and age (18-65).
Contact us and share your feedback - recieve additional samples for free! 😊
Key Highlights:
12,000+ real individuals… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Selfie_and_Official_ID_Photo_Dataset.age-estimation-kids-faces-datasetKids and teens face dataset for age estimation tasks. This children face dataset contains images of kids and teens with accurate age labels, perfect for training age estimation models, young faces recognition, and age-based face dataset applications. Includes face dataset with age metadata for each subject
10,000+ selfies | Verified age labels | 10-30 years | Multi-ethnic
The Problem
New age-gating laws (COPPA 2.0, EU DSA, Australia Social Media Act) require apps to detect… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/age-estimation-kids-faces-dataset.palm-recognition-dataset24,000 high-quality images from 2,000 diverse participants worldwide - smartphone palm recognition dataset for biometric authentication
Participants & Demographics
2,000 diverse participants from multiple countries
Balanced gender representation
6+ ethnic groups: Black, South Asian, Caucasian, Arab/Middle Eastern, Hispanic, East Asian
Age range: Under 20 to 50+ years
Both right-handed and left-handed individuals
Image Capture
Smartphone-based: 200+ different models… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/palm-recognition-dataset.english-contact-center-audio-dataset
English Contact Center Audio Dataset - 1,000+ Hours with Transcripts
1,000+ hours of real-world English call center audio with transcripts. Train speech recognition, sentiment analysis, and customer support AI models on authentic telephone conversations
Dataset Summary
Key Features
✅ 1,000+ hours of inbound & outbound calls✅ 100% English telephone conversations✅ Real-world audio - no synthetic data✅ Full transcripts in English✅ Diverse English accents &… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/english-contact-center-audio-dataset.Display_replay_attacks
Face Anti Spoofing Replay Dataset
iBeta Level 1 Dataset
Liveness Detection: Replay attacks. 5,000+ videos of display replay monitor attacks 12+ sec and real photos. The attacks provide diversity of lighting, devices, and screens
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Left: Real selfie; Right: Display attack
Left: Real selfie; Right: Display attack
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Display_replay_attacks.print-attack-dataset
Liveness Detection Dataset: Photo Print attack dataset (3K individuals+)
What Is a Print Attack?
A print attack is a 2D presentation attack vector against face recognition and liveness detection systems, where an attacker presents a printed photo of a real person's face to a camera to deceive biometric authentication. Print attacks are the most common and accessible spoofing technique in face anti-spoofing research and represent the entry-level attack class tested in… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/print-attack-dataset.silicone-mask-dataset
Silicone Mask Dataset — 12,500+ Videos for Face Anti-Spoofing & Liveness Detection
A silicone mask presentation attack dataset for face anti-spoofing, liveness detection, and biometric face recognition systems. The dataset contains 12,500+ attack videos featuring 18 hyper-realistic silicone masks, designed for training and benchmarking presentation attack detection (PAD) models. Aligned with the ISO/IEC 30107-3 standard for biometric anti-spoofing and suitable for iBeta Level 2 PAD… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/silicone-mask-dataset.LightRAG-DAPO-ScalingLaws
Dataset Card for axondendriteplus/LightRAG-DAPO-ScalingLaws
Dataset Description
This dataset contains images converted from PDFs using the PDFs to Page Images Converter Space.
Number of images: 62
Number of PDFs processed: 3
Sample size per PDF: 100
Created on: 2025-05-13 10:15:11
Dataset Creation
Source Data
The images in this dataset were generated from user-uploaded PDF files.
Processing Steps
PDF files were uploaded to the PDFs to… See the full description on the dataset page: https://huggingface.co/datasets/axondendriteplus/LightRAG-DAPO-ScalingLaws.Anti_Spoofing_Cut_print_attack
Cut 2D Masks Presentation Attack Detection for Liveness Detection (2K+ individuals)
Liveness Detection Dataset with video attacks with printed 2D masks. This dataset focuses on cutout photo print attacks which might be used by iBeta and NIST FATE to assess liveness detection algorithms. This dataset is tailored for training AI models to identify a variation of cutout 2D print attack
Full version of dataset is availible for commercial usage - leave a request on our… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Anti_Spoofing_Cut_print_attack.CodeContesthuman-movement-pov-dataset-for-robotics
VLA Egocentric Video Dataset — 100+ Hours of 4K Human Manipulation
100+ hours of first-person (egocentric POV) video of real humans performing real-life hand tasks for training vision-language-action (VLA) models, imitation learning policies, and embodied AI systems
Key Highlights
100+ hours of real-world egocentric video
Continuous, uncut - full task arcs (preparation → execution → result)
Head-mounted POV - matches robot wrist/head sensor geometry better than… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/human-movement-pov-dataset-for-robotics.pc-web-ir-rgb-webcam-dataset-ibeta-level-1
iBeta Level 1 PAD — IR + RGB Webcam Face Liveness Dataset for PC/Web Application
Summary
iBeta Level 1 paper attacks captured with a dual-camera setup: IR (infrared) + RGB webcam for PC/web-based onboarding. Each sample contains a synchronized IR channel and a standard webcam RGB view, covering bona-fide recordings and four paper spoof variations: print & cutout, cylinder, on-actor, and 3D paper masks. Designed for ISO/IEC 30107-3 PAD Level 1 pre-evaluation in a PC/Web… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/pc-web-ir-rgb-webcam-dataset-ibeta-level-1.Black_People_Face_Recognition
Black people Face Detection Dataset: 3M+ Identities
Large human faces dataset for face recognition models (10M+ images)
Share with us your feedback and recieve additional samples for free!😊
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces
The dataset is “cleaned” and has… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Black_People_Face_Recognition.infant-cry-detection-dataset
Infant Cry Detection Dataset — 50+ Hours of Real Baby Cry Audio
50+ hours of real infant cry recordings for training infant cry detection, cry classification, and sound event detection models. Manually verified files captured in natural domestic conditions, with per-file metadata on location, background noise, and recording device
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Key Highlights
50+ hours of real-world… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/infant-cry-detection-dataset.webshopreplay-attack-datasetCommercial collection of 10,000+ replay attack videos covering both display-based and mobile-based replay spoofing. Captured from 2,500+ unique participants with balanced gender and ethnicity representation. Suitable for training face anti-spoofing models and preparing for iBeta PAD Level 1 certification
Dataset Summary
Replay attacks are one of the most common presentation attack types in face biometric systems. Attackers replay a video or image of a genuine user on a screen (phone… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/replay-attack-dataset.axonet-neuromorpho-dataset
AxoNet NeuroMorpho Dataset
Multi-view rendered images of neuronal morphologies from NeuroMorpho.org, prepared for training segmentation and multimodal (CLIP-style) models.
Dataset Summary
This dataset contains 7,158 curated neurons rendered from 24 viewpoints each, totaling approximately 164,000 images. Each neuron has:
Binary masks (silhouette)
Semantic segmentation masks (soma, axon, dendrites)
Depth maps
Rich metadata (species, brain region, cell type, morphometrics)… See the full description on the dataset page: https://huggingface.co/datasets/broadinstitute/axonet-neuromorpho-dataset.3d_cloth_face_mask_spoofing_dataset
Textile 3D Face Mask Attack Dataset
Cloth mask attack dataset for anti-spoofing and liveness detection — 11,000+ videos of elastic textile masks with printed faces on Samsung S23 and iPhone 14 Pro. ISO 30107-3 Level 2 attack category, iBeta Level 2 certification prep
Overview
Cloth mask attack dataset for training anti-spoofing and liveness detection models — 11,000+ videos of elastic textile face masks (balaclava-type) with printed facial images. Captured on Samsung S23… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/3d_cloth_face_mask_spoofing_dataset.
