MBW Zoo Data

We release a challenging dataset consisting image frames of tail-end distribution categories (such as Fish, Colobus Monkeys, Chimpanzees, etc.) with their corresponding 2D, 3D, and Bounding-Box labels generated from minimal human intervention. Some of the prominent use cases of this dataset include not only sparse 2D and 3D landmark prediction, but also dense reconstruction tasks such as dense deformable shape reconstruction, novel view rendering (NeRF), Detection and Tracking, and finally this dataset could also be used for camera estimation in Simultaneous Localization and Mapping (SLAM) frameworks.

https://github.com/mosamdabhi/MBW-Data

Related Organizations

Carnegie Mellon University
United States

Keywords

Auto labeling, Multi-view 2D-3D, Keypoint Detection, Self-supervision, Pose estimation

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