PASCAL VOC 2011
Introduced by Everingham et al. in The PASCAL Visual Object Classes Challenge 2011 (VOC2011) Results
PASCAL VOC 2011 is an image segmentation dataset. It contains around 2,223 images for training, consisting of 5,034 objects. Testing consists of 1,111 images with 2,028 objects. In total there are over 5,000 precisely segmented objects for training.
Source: Scene Parsing with Integration of Parametric and Non-parametric ModelsBenchmarks
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PASCAL VOC 2011 test
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Plugin network
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PASCAL VOC 2011
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DLDL-8s+CRF
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Papers
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