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Data for Human Experiments
Apr 19, 2022
Sundaram, Shobhita, 2022, "Data for Human Experiments", https://doi.org/10.7910/DVN/MXGTSP, Harvard Dataverse, V1
This synthetic data was shown to human participants to assess rapid learning and generalization of symmetry. In the first two slides, participants were shown asymmetric and symmetric images (labeled "Group 0" and "Group 1") respectively. In subsequent slides they were shown random synthetic images and asked to categorize them into the two groups.
Natural Data for Experiment Set 2
Dec 29, 2021
Sundaram, Shobhita, 2021, "Natural Data for Experiment Set 2", https://doi.org/10.7910/DVN/ZSAARE, Harvard Dataverse, V1
Natural-image symmetry dataset to reproduce results from Experiment Set 2. symm_training.pkl: 10800 natural images (20x20 augmented, grayscale crops) for training networks to recognize natural symmetry. symm_testing.pkl: 1200 natural images (20x20 augmented, grayscale crops) for testing recognition of natural symmetry.
Synthetic Data for Experiment Set 1
Dec 29, 2021
Sundaram, Shobhita, 2021, "Synthetic Data for Experiment Set 1", https://doi.org/10.7910/DVN/UMFXNY, Harvard Dataverse, V1
Synthetic training/validation/testing data to reproduce results of Experiment Set 1. symm_synthetic_training_80px.pkl: Pickle file containing 4000 grayscale 80x80 synthetic images for training networks to recognize mathematical symmetry. symm_synthetic_validation_80px.pkl: Pickle file containing 4000 grayscale 80x80 synthetic images to validate net...
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