Cornell Activity Datasets: CAD 60 & CAD 120

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Cornell Activity Datasets: CAD 60 & CAD 120

The CAD-60 and CAD-120 data sets comprise of RGB-D video sequences of humans performing activities which are recording using the Microsoft Kinect sensor.CAD-60 dataset features:60 RGB-D videos4 subjects: two male, two female, one left-handed5 different environments: office, kitchen, bedroom, bathroom, and living room12 activities: rinsing mouth, brushing teeth, wearing contact lens, talking on the phone, drinking water, opening pill container, cooking (chopping), cooking (stirring), talking on couch, relaxing on couch, writing on whiteboard, working on computertracked skeletonsEach video come with RGB images, Depth images, and the tracked skeletons.CAD-120 dataset features:120 RGB-D videos of long daily activities4 subjects: two male, two female, one left-handed10 high-level activities: making cereal, taking medicine, stacking objects, unstacking objects, microwaving food, picking objects, cleaning objects, taking food, arranging objects, having a meal10 sub-activity labels: reaching, moving, pouring, eating, drinking, opening, placing, closing, scrubbing, null12 object affordance labels: reachable, movable, pourable, pourto, containable, drinkable, openable, placeable, closable, scrubbable, scrubber, stationarytracked skeletons

Dataset Attributes

Label SVG
CategoriesActivity, Action, Affordance, Rgbd, Video, Daily, Human, Kinect