Simultaneously-collected Multimodal Mannequin Lying Pose (SMaL)

Simultaneously Collected Multimodal Mannequin Lying Pose (SMaL) dataset is an infant pose dataset based on a posable mannequin. The SMaL dataset contains a set of 300 unique poses under three cover conditions using three sensor modalities: color imaging, depth sensing, and pressure sensing. It represents the first multimodal dataset for infant pose estimation and the first dataset to explore under the cover pose estimation for infants.