ImagesVideos3D

MPI-INF-3DHP

Introduced in Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision2016

About this Dataset

MPI-INF-3DHP is a 3D human body pose estimation dataset consisting of both constrained indoor and complex outdoor scenes. It records 8 actors performing 8 activities from 14 camera views. It consists on >1.3M frames captured from the 14 cameras.

Source: Anatomy-aware 3D Human Pose Estimation in Videos Image Source: https://arxiv.org/abs/1611.09813

Source: Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision

Dataset Variants

MPI-INF-3DHP

Papers1

Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

A CNN-based approach for 3D human body pose estimation from single RGB images that addresses the issue of limited generalizability of models trained solely on the starkly limited publicly available 3D pose data is proposed.

Dataset Loaders

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open-mmlab/mmpose

pytorch

Tasks

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