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PASCAL3D+ 3D Object Detection and Pose Recognition Dataset
PASCAL 3D+ is a 3D object detection and pose recognition dataset that includes 3D annotations of 12 categories of objects in PASCAL VOC 2012, with an average of 3000 instances in each category.
This dataset was released by Stanford University in 2014. The related paper is "Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild"
PASCAL3D+.torrent
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