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Urban Sound 8K is an audio dataset that contains 8732 labeled sound excerpts (<=4s) of urban sounds from 10 classes.
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Sydney Urban Objects dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD of Sydney, Australia. There are 631 individual scans of objects across classes of vehicles, pedestrians, signs and trees.
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The LEGOv2 database is a parameterized and annotated version of the CMU Let’s Go database from 2006 and 2007. This spoken dialogue corpus contains interactions captured from the CMU Let’s Go (LG) System by Carnegie Mellon University in 2006 and 2007. It is based on raw log-files from the LG system. The corpus has been parameterized and annotated by the Dialogue Systems Group at Ulm University, Germany.
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The ModelNet40 dataset contains synthetic object point clouds. As the most widely used benchmark for point cloud analysis, ModelNet40 is popular because of its various categories, clean shapes, well-constructed dataset, etc.
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The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation.
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HUMAN4D: A HUMAN-CENTRIC MULTIMODAL DATASET FOR MOTIONS & IMMERSIVE MEDIA