SBD (Semantic Boundaries Dataset)

Introduced by Bharath Hariharan et al. in Semantic contours from inverse detectors

The Semantic Boundaries Dataset (SBD) is a dataset for predicting pixels on the boundary of the object (as opposed to the inside of the object with semantic segmentation). The dataset consists of 11318 images from the trainval set of the PASCAL VOC2011 challenge, divided into 8498 training and 2820 test images. This dataset has object instance boundaries with accurate figure/ground masks that are also labeled with one of 20 Pascal VOC classes.

Source: Weakly Supervised Object Boundaries


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