-
PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets
PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets -
PASCAL VOC 2007, PASCAL VOC 2012 and MS COCO
The dataset used for object detection, including PASCAL VOC 2007, PASCAL VOC 2012 and MS COCO. -
PASCAL VOC 2007, 2010, 2012, ILSVRC 2013, and MSCOCO 2014 datasets
The PASCAL VOC 2007, 2010, 2012 datasets, the ILSVRC 2013 dataset, and the MSCOCO 2014 dataset. -
PASCAL Visual Object Classes Challenge
The PASCAL Visual Object Classes Challenge (VOC) is a benchmark dataset for object detection and semantic segmentation. -
PASCAL VOC Dataset
The PASCAL VOC dataset contains 20 classes, including person, animal, vehicle, and indoor, with 9,963 images containing 24,640 annotated objects. -
COCO and PASCAL VOC datasets
The dataset used in the paper is the COCO dataset and the PASCAL VOC dataset. -
PASCAL VOC 2007
Multi-label image recognition is a practical and challenging task compared to single-label image classification. -
PASCAL VOC2007
The PASCAL VOC2007 dataset is a benchmark for object detection and image classification. -
PASCAL VOC 2007 dataset
PASCAL VOC 2007 dataset is a widely used dataset for object detection and semantic segmentation. We use all the split sets (training, validation, testing) in the VOC2007 dataset... -
PASCAL VOC and MS COCO
PASCAL VOC and MS COCO datasets were used for training.
