Facial recognition data collection services
Ethically sourced, diverse, and compliant datasets for training and validating facial recognition AI.
Why leading AI teams choose
LXT for facial recognition data collection
Global Reach
Facial image and video data collected in 150+ countries and 1,000+ locales – capturing diversity across demographics, environments, and cultures.
Large, Qualified Workforce
Access to over 7 million contributors and 250,000+ domain specialists ensures datasets with the variety and quality your models demand.
Dataset Diversity
Images and videos captured under varied conditions: multiple lighting setups, angles, poses, occlusions, accessories, and backgrounds.
Fast & Flexible
Projects scale from small pilots to millions of face samples, with secure workflows and rapid throughput.
Quality Assured
Rigorous validation including demographic balance checks, resolution and clarity standards, and multi-step QA. ISO 27001, SOC 2, GDPR, HIPAA compliant.
Custom-Built
Datasets tailored to your goals: authentication, identification, age estimation, emotion recognition, or liveness detection.
Scalable, expert-led face data for AI training
LXT provides managed facial recognition data collection designed to power and validate advanced computer vision systems.
Our network delivers high-quality, ethically sourced face datasets that reflect real-world diversity – across age, gender, ethnicity, and environments.
From simple still images to dynamic video clips, every dataset is validated and securely delivered in your preferred format, ensuring your models are trained on accurate, bias-aware, and regulation-compliant data.
Our face recognition data collection services at a glance
Image Capture
Facial images are collected at scale, reflecting real-world variability in lighting, angles, poses, expressions, and accessories such as glasses, hats, or masks. Optional demographic metadata – including age group, gender, or ethnicity – allows precise targeting of your training requirements.
Video Capture
Short facial video clips add dynamic depth to training datasets. They capture expressions, head and eye movements, and liveness detection signals, providing your models with the temporal context required for accurate recognition in real-world conditions.
Annotation & Labeling
Collected images and videos are annotated with bounding boxes, facial landmarks, head pose estimation, and expression tags. These structured layers transform raw visual data into training-ready inputs for reliable and bias-aware recognition.
Dataset Evaluation
All datasets are thoroughly reviewed and filtered for clarity, demographic coverage, and compliance with privacy and ethical standards. Irrelevant or low-quality samples are excluded, ensuring your systems are trained on accurate, diverse, and regulation-ready data.
How our face recognition data collection process works
Our workflows are designed to give you complete confidence in dataset quality, coverage, and compliance. From the first conversation to final delivery, LXT manages every step with precision and care.
Contact us to share your goals, demographic needs, environments, and target use cases. We’ll discuss your requirements in detail and prepare a tailored proposal with a custom quote.
We create contributor guidelines, define recording conditions (lighting, angles, poses), and configure QA workflows. Privacy safeguards and secure protocols are applied where needed.
A small sample of images or videos is captured. Together, we review results to confirm clarity, demographic coverage, and technical fit – then fine-tune before scaling.
Contributors from 150+ countries are onboarded and data is captured at scale, covering diverse demographics, environments, and conditions according to your specifications.
Multi-layer QA combines automated checks, peer reviews, and expert audits to verify accuracy, balance, and compliance with your requirements.
Datasets are delivered in your preferred format via encrypted transfer, API, or on-premises hosting — always with enterprise-grade security.
Need ongoing updates or wider demographic coverage? We can expand or refresh your datasets to support retraining, new regions, or additional use cases.
Quality & security in face recognition data collection
Handling biometric data requires the highest levels of accuracy, privacy, and compliance. LXT applies rigorous quality control and enterprise-grade data protection at every stage of your face recognition project.
Curated contributor selection
Participants are carefully filtered by demographics, device type, and project criteria to ensure datasets match your requirements.
Enterprise compliance
All work is conducted under ISO 27001–certified infrastructure and compliant with SOC 2, GDPR, and HIPAA.
Pre-Task training (optional)
Contributors can complete onboarding or test tasks to align with project-specific instructions – e.g. pose, lighting, or expression requirements.
Data privacy & confidentiality
We sign NDAs and follow strict privacy protocols. Sensitive projects can be run via VPN, VPC, or secure facilities with controlled access.
Layered quality qssurance
Every dataset goes through multiple validation steps, including automated checks, peer review, and expert audits – ensuring clarity, diversity, and compliance.
Secure infrastructure
Data is transferred via encrypted channels and stored under restricted access, with options for on-premises delivery.
Industries & use cases for face recognition data collection
Facial recognition datasets are used across industries to train, test, and validate systems that require accuracy, fairness, and security. LXT delivers the data you need to build responsible, production-ready models.
Security & surveillance
Access control, anomaly detection, liveness checks, and real-time monitoring in sensitive environments.
Finance
Biometric authentication for mobile banking apps, fraud prevention, and secure transactions.
Healthcare
Patient identification, monitoring, and emotion detection in therapeutic or diagnostic settings.
Retail & eCommerce
Personalized shopping experiences, customer analytics, and checkout-free store systems.
Government & public sector
Border control, identity verification, and citizen service applications.
Automotive
Driver monitoring, fatigue detection, and in-cabin personalization.
FAQs on our LXT face recognition data collection services
Yes. We can sign mutual NDAs and apply strict privacy protocols. Sensitive biometric data can also be processed in secure facilities with restricted access.
Contributors are selected based on your requirements, including age, gender, ethnicity, and region. This ensures datasets reflect real-world diversity and minimize bias in model training.
Yes. We provide both still image capture and short video recordings to train models for recognition, expression analysis, and liveness detection.
Every dataset passes multi-layer QA, including automated clarity checks, peer review, and expert audits to ensure accuracy and compliance with your project needs.
Pricing depends on scope — volume, demographic coverage, environments, and whether both images and videos are required. A custom quote is provided after scoping.
Further data collection services
Expand your AI training data capabilities with our full range of collection services:
Data collection
A single access point to scope and launch multimodal projects – spanning text, audio, video, image, and more.
Video data collection
Short clips and longer recordings capturing human motion, interactions, and environments for advanced computer vision.
Audio data collection
Speech and sound datasets gathered across languages, accents, and contexts – ideal for assistants, transcription, and analytics.
Text data collection
Specialized corpora, conversational logs, and handwritten sources prepared for NLP and generative AI.
Image data collection
Curated image sets of people, objects, and scenes in varied conditions – powering recognition and detection systems.
LLM data collection
Extensive text and multimodal corpora tailored for large language model pretraining and fine-tuning.