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A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion%OnkInk 4 Watchers234 Pageviews0 Deviations2 Comments Profile Navigation OnkInk Home Gallery Favourites About Send Note Watch+OakInk contains three datasets: OakBase: Object Affordance Knowledge (Oak) base, including objects' part-level segmentation and attributes. OakInk-Image: a video dataset with 3D hand-object pose and shape annotations. OakInk-Shape: a 3D grasping pose dataset with hand and object mesh models. The OakInk-Image contains 230K image frames that capture a total of 12 subjects performing up to 5.Check out OnkInk's art on DeviantArt. Browse the user profile and get inspired.%Learning how humans manipulate objects requires machines to acquire knowledge from two perspectives: one for understanding object affordances and the other for learning human's interactions based on the affordances. Even though these two knowledge bases are crucial, we find that current databases lack a comprehensive awareness of them. In this work, we propose a multi-modal and rich-annotated!A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion!We present OAKINK2, a dataset of bimanual object manipulation tasks for complex daily activities. In pursuit of constructing the complex tasks into a structured representation, OAKINK2 introduces three level of abstraction to organize the manipulation tasks: Affordance, Primitive Task, and Complex Task. OAKINK2 features on an object-centric perspective for decoding the complex tasks, treating