CREMA-D.

The CREMA-D dataset is a collection of 7,442 video and audio clips of 91 actors expressing six basic emotions: happy, sad, anger, fear, disgust, and neutral. The dataset was created for studying multimodal emotion recognition and includes perceptual ratings from crowd-sourced raters in audio-only, visual-only, and audio-visual modalities.

Best published scores.

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Neighbouring benchmarks.

Other Few-Shot Image Classification datasets on Codesota.

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• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies