A Camera-Native Talking-Head Video Dataset for Various Computer Vision Tasks
Talking-head videos constitute a predominant content type in real-time communication, yet publicly available datasets for video processing research in this domain remain scarce and limited in signal fidelity. In this paper, we open-source a camera-native dataset of 838 talking-head recordings (approximately 210 minutes), each 15s in duration, captured from 799 participants across 443 camera-code categories in their natural environments. All recordings are stored using the FFV1 lossless codec, preserving the camera-native signal---uncompressed (24.7%) or MJPEG-encoded (75.3%)---without additional lossy processing. Each recording is annotated with a Mean Opinion Score (MOS) and ten perceptu...
| Authors | Babak Naderi, Ross Cutler, Nabakumar Singh Khongbantabam |
|---|---|
| Primary category | cs.CV |
| Published | 23 March 2026 |
| Last updated at source | 17 August 2026 |
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