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PASCAL VOC 2011
Visual Object Classes Challenge 2011
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.
EU-funded PASCAL2 Network of Excellence on Pattern Analysis
View author website
Task
Object Detection
Annotation Types
Bounding Boxes
2223
Items
20
Classes
2223
Labels
Models using this dataset
Last updated on
January 20, 2022
Licensed under
Research Only
