Datasets:
| license: mit | |
| tags: | |
| - synthetic | |
| - image | |
| - video | |
| size_categories: | |
| - 1K<n<10K | |
| language: | |
| - en | |
| <h1>SynPAIN Dataset</h1> | |
| <p>SynPAIN is a publicly available synthetic dataset to support pairwise pain detection models for older adults with dementia. It contains 10,710 facial expression images (5,355 neutral/expressive pairs) across five ethnicities/races, representing two age groups (young: 20-35, old: 75+), both genders, and two expression types (pain and non-pain). It also includes five-second, 24 fps videos transitioning from a neutral to an expressive face for 40 identities, representing one combination from each ethnicity/race, gender, expression type, and age group.</p> | |
| <h2>☰ Dataset Contents</h2> | |
| <p>SynPAIN consists of the following:</p> | |
| <ol> | |
| <li>SynPain.txt: A txt file explaining the data structure and filename format.<\li> | |
| <li>SynPain_folds.txt: A txt file providing the folds that were used for the "within-dataset experiments" (Section IV of the SynPAIN paper) | |
| <li>Images: A directory that contains 5,355 images (for each pair of neutral and expressive faces)<\li> | |
| <li>Videos: A directory that contains 40 videos, and for each video, the images they're based on<\li> | |
| </ol> | |
| <h2>📝 Citation</h2> | |
| <p>If you use SynPAIN in your research, please cite the SynPAIN paper:</p> | |
| <p>[To be provided]</p> |