UniDataPro/kyc-verification-dataset

Identity Verification Dataset

Dataset provides 1,215 videos and 405 speech clips of 45 individuals, annotated with gender, ethnicity, and multi-emotion labels. Designed for AI avatar generation, identity verification, and computer vision tasks, this emotional video and speech dataset supports creating realistic avatars, training **deep learning **models, and advancing applications in virtual assistants, facial recognition, and digital identity.

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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