MPII Human Pose

Introduced by Andriluka et al. in 2D Human Pose Estimation: New Benchmark and State of the Art Analysis

MPII Human Pose Dataset is a dataset for human pose estimation. It consists of around 25k images extracted from online videos. Each image contains one or more people, with over 40k people annotated in total. Among the 40k samples, ∼28k samples are for training and the remainder are for testing. Overall the dataset covers 410 human activities and each image is provided with an activity label. Images were extracted from a YouTube video and provided with preceding and following un-annotated frames.

Source: Accelerating Large-Kernel Convolution Using Summed-Area Tables


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