UniDataPro/kyc-verification-dataset

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

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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.

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