Dataset for the investigation of visual semiotics, and how specific visual features and design choices can elicit specific emotions, thoughts and beliefs.
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The Impressions dataset is a multimodal benchmark that consists of 4,300 unique annotations and over 1,440 image-caption pairs from the photography domain. Each annotation explores (1) the aesthetic impactfulness of a photograph, (2) image descriptions in which pragmatic inferences are welcome, (3) emotions/thoughts/beliefs that the photograph may inspire, and (4) the aesthetic elements that elicited the expressed impression.
EMNLP 2023 | Paper
- metadata
- all_image_annotations.csv : All annotations on image impact, description, perception, and aesthetic evaluation.
- image_annotations_3cap.csv : Annotation set where image-caption pair have 3+ annotations from 3 distinct annotators.
- mean_impact_scores.csv : Mean aesthetic impact scores for all images evaluated during data collection. Scores range from 1 (highly impactful) to 4 (not impactful).
- annotator_personality_data.csv : Annotator answers to a compact version of the Big 5 Personality test.
- annotator_demographic_data.csv : Annotator demographic information.
To download all images of the Impressions dataset, please run:
python download_images.py