COCO-MEBOW (Monocular Estimation of Body Orientation In the Wild)
Introduced by Wu et al. in MEBOW: Monocular Estimation of Body Orientation In the Wild
COCO-MEBOW (Monocular Estimation of Body Orientation in the Wild) is a new large-scale dataset for orientation estimation from a single in-the-wild image. The body-orientation labels for 133380 human bodies within 55K images from the COCO dataset have been collected using an efficient and high-precision annotation pipeline. There are 127844 human instance in training set and 5536 human instance in validation set.
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