HPD (Head-Pose Detection)
Introduced by Fahmy et al. in Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning
These images were generated using Blender and IEE-Simulator with different head-poses, where the images are labelled according to nine classes (straight, turned bottom-left, turned left, turned top-left, turned bottom-right, turned right, turned top-right, reclined, looking up). The dataset contains 16,013 training images and 2,825 testing images, in addition to 4,700 images for improvements.
Papers
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