Predicts where people look on an ad before it runs: classical + learned saliency, AOI focus scoring, and motion salience for video. Stress-tested on synthetic probes; static model scored on human eye-tracking (OSIE, 200 held-out images: CC 0.344 → 0.450, human ceiling 0.88). Natural scenes only, not yet validated on ads. Reproducible.
python opencv computer-vision reproducible-research motion-detection eye-tracking advertising marketing-analytics visual-attention saliency-prediction neuromarketing creative-testing human-gaze osie-dataset
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Updated
Oct 7, 2026 - Python