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.gitattributes

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+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
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+# Audio files - compressed
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+# Video files - compressed
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KYC verification dataset.csv

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+person_id,Name,side,emotion
+1,Maria,front,angry
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+1,Maria,left,angry
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+2,Taras,front,angry
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+2,Taras,front,sad
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+2,Taras,left,sad
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README.md

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+---
+license: cc-by-nc-nd-4.0
+tags:
+- Identity Verification
+- KYC Verification
+- Emotion recognition
+- Speech Recognition
+task_categories:
+- video-classification
+size_categories:
+- 1K<n<10K
+---
+# 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](https://unidata.pro/datasets/speech-and-emotion-video-dataset-for-kyc-verification/?utm_source=huggingface&utm_medium=referral&utm_campaign=kyc-verification-dataset)**
+
+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
+
+# Frequently Asked Questions
+
+## Why are emotional video recordings useful for KYC applications?
+
+Facial expressions introduce natural variations in appearance that many verification systems encounter during real customer onboarding.
+
+## Is the dataset suitable for training AI avatar and digital identity models?
+
+Yes. The accompanying AI avatar data provides consistent facial videos and speech recordings that can support realistic avatar generation, facial animation, identity-preserving synthesis, and digital human research.
+
+## Who can benefit from this Video Emotion Recognition Dataset?
+
+This video emotion recognition dataset is valuable for organizations and researchers developing AI systems that analyze facial expressions, emotions, and human behavior from video.
+
+# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingface&utm_medium=referral&utm_campaign=kyc-verification-dataset) 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](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingface&utm_medium=referral&utm_campaign=kyc-verification-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects

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