NovelCraft
Introduced by Feeney et al. in NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
Scene-focused, multi-modal, episodic data of the images and symbolic world-states seen by an agent completing a pogo-stick assembly task within a video game world. Classes consist of episodes with novel objects inserted. A subset of these novel objects can impact gameplay and agent behavior. Novelty objects can vary in size, position, and occlusion within the images. Usable for novelty detection, generalized category discovery, and class-imbalanced classification.
Papers
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