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Identity Verification Dataset
The dataset comprises 45 people, featuring 1,215 videos and 405 audios, specifically designed for enhancing video KYC and digital identity verification processes. It is designed for verifying customers, preventing fraudulent activity, and mitigating risks associated with identity frauds and deepfakes.
By utilizing this dataset, researchers can develop and benchmark advanced AI models for verifying identity and detecting fraud risks through multi-modal analysis of biometric data from video recordings. - Get the data
Dataset contains recordings of 45 individuals, each performing 3 different sentences. Every sentence is spoken with 3 distinct emotions and captured from 3 different camera angles
💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.
Researchers and companies can utilize this dataset to significantly improve their recognition technology, enhance security measures, and develop next-generation biometric authentication that effectively prevents spoofing and ensures reliable identity verification.
🌐 UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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