ODMS

홈페이지 · 논문 2편

ODMS is a dataset for learning Object Depth via Motion and Segmentation. ODMS training data are configurable and extensible, with each training example consisting of a series of object segmentation masks, camera movement distances, and ground truth object depth. As a benchmark evaluation, the dataset provides four ODMS validation and test sets with 15,650 examples in multiple domains, including robotics and driving. Source: https://github.com/griffbr/ODMS Image Source: https://github.com/griffbr/ODMS