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Instance Segmentation, Body Part Parsing, and Pose Estimation of Human Figures in Pictorial Maps
(2023)Training and test data to idenfity silhouettes of human figures on pictorial maps (6964 different images) and to segment body parts and pose points of pictorial human figures (9503 different images)Dataset -
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Inferring Implicit 3D Representations from Human Figures on Pictorial Maps
(2023)Training, validation, test and result data to estimate 3D poses, to infer 3D body parts, to predict UV coordinates. to inpaint and enhance textures of pictorial human figures (3186 posed 3D models of humans, 3925 images of cartoonized humans, 3133 images of cartoonized human heads)Dataset -
Detection of Pictorial Map Objects with Convolutional Neural Networks
(2023)Training and validation data to classify maps and non-maps (6200 images), to classify pictorial maps and non-pictorial maps (3000 images) as well as to detect sailing ships on historic maps (3201 bounding boxes on 525 maps)Dataset -
TimeUse+ Pretest
(2023)The TimeUse+ study is an effort to collect data to understand daily patterns in travel, time use, and expenditure behavior. Study participation begins with an initial survey that collects personal and household level characteristics along with information on mobility tool ownership. Next, participants took part in either 14 or 28 days of tracking and validating, or annotating, their passively recorded events with all of the activities ...Dataset -
TimeUse+ main study
(2023)The TimeUse+ study collected data to understand daily patterns in travel, time use, and expenditure behavior. Study participation began with an initial online questionnaire that collected personal and household level characteristics along with information on mobility tool ownership. Next, participants took part in 28 days of tracking and validating, or annotating, their passively recorded events with all of the activities their performed ...Dataset