HumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, and Short-Form Video
We introduce HumanCentric-Scenes-AI, a human-curated dataset of 296 AI-generated stimuli that depict people across four contexts in which people encounter AI-generated media.
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Key points
- The Surveillance subset contains 85 AI-generated CCTV-style images.
- We report edit-region size and its association with zero-shot detection difficulty for the AI-edited subset.
- We report image-quality distributions for the Surveillance subset and subject-category coverage for the Video subset.
- HumanCentric-Scenes-AI is intended first for human-perception research, and also for calibration of AI-detection classifiers and bias analysis of generative models.
Sources (1)
- [1]HumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, and Short-Form VideoarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 21, 01:20 AM
We introduce HumanCentric-Scenes-AI, a human-curated dataset of 296 AI-generated stimuli that depict people across four contexts in which people encounter AI-generated media.
The Surveillance subset contains 85 AI-generated CCTV-style images.
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