OAK (Objects Around Krishna)
Introduced by Wang et al. in Wanderlust: Online Continual Object Detection in the Real World
OAK is a dataset for online continual object detection benchmark with an egocentric video dataset. OAK adopts the KrishnaCam videos, an ego-centric video stream collected over nine months by a graduate student. OAK provides exhaustive bounding box annotations of 80 video snippets (~17.5 hours) for 105 object categories in outdoor scenes.
Papers
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