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SBD

Semantic Boundaries Dataset

SBD

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.

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Task
3D Semantic Segmentation
Annotation Types
Semantic Segmentation
11318
Items
20
Classes
11318
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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