Datasets > Modality > Images > ScribbleSup (PASCAL-Scribble Dataset)

ScribbleSup (PASCAL-Scribble Dataset)

Introduced by Lin et al. in ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

The PASCAL-Scribble Dataset is an extension of the PASCAL dataset with scribble annotations for semantic segmentation. The annotations follow two different protocols. In the first protocol, the PASCAL VOC 2012 set is annotated, with 20 object categories (aeroplane, bicycle, ...) and one background category. There are 12,031 images annotated, including 10,582 images in the training set and 1,449 images in the validation set. In the second protocol, the 59 object/stuff categories and one background category involved in the PASCAL-CONTEXT dataset are used. Besides the 20 object categories in the first protocol, there are 39 extra categories (snow, tree, ...) included. This protocol is followed to annotate the PASCAL-CONTEXT dataset. 4,998 images in the training set have been annotated.

Source: https://jifengdai.org/downloads/scribble_sup/

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