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65 machine learning datasets

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65 dataset results

Aneux

The AneuX morphology database includes data from 3 different data sources: AneuX, @neurIST and Aneurisk. The AneuX data consists of two portions AneuX1 and AneuX2, which have extracted by two different teams of data curators.

1 papers0 benchmarks3d meshes, Images, Medical

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1 papers0 benchmarks3d meshes

BTFDBB (BTF Database Bonn)

Reflectance measurements of Bidirectional Texture Functions (BTFs)

0 papers0 benchmarks3D, 3d meshes, Hyperspectral images, Images

InfiniteRep

InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications. It includes 1k videos of diverse avatars performing multiple repetitions of common exercises. It includes significant variation in the environment, lighting conditions, avatar demographics, and movement trajectories. From cadence to kinematic trajectory, each rep is done slightly differently -- just like real humans. InfiniteRep videos are accompanied by a rich set of pixel-perfect labels and annotations, including frame-specific repetition counts.

0 papers0 benchmarks3D, 3d meshes, Actions, Biomedical, Images, RGB Video, RGB-D, Tracking, Videos

HEADSET (HEADSET: Human Emotion Awareness under Partial Occlusions Multimodal DataSET)

The volumetric representation of human interactions is one of the fundamental domains in the development of immersive media productions and telecommunication applications. Particularly in the context of the rapid advancement of Extended Reality (XR) applications, this volumetric data has proven to be an essential technology for future XR elaboration. In this work, we present a new multimodal database to help advance the development of immersive technologies. Our proposed database provides ethically compliant and diverse volumetric data, in particular 27 participants displaying posed facial expressions and subtle body movements while speaking, plus 11 participants wearing head-mounted displays (HMDs). The recording system consists of a volumetric capture (VoCap) studio, including 31 synchronized modules with 62 RGB cameras and 31 depth cameras. In addition to textured meshes, point clouds, and multi-view RGB-D data, we use one Lytro Illum camera for providing light field (LF) data simul

0 papers0 benchmarks3D, 3d meshes, Audio, Images, Point cloud, RGB Video, RGB-D, Videos
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