HOD (Hand-held Object Dataset)
Introduced by Huang et al. in Reconstructing Hand-Held Objects from Monocular Video
HOD is a dataset for 3D object reconstruction which contains 35 objects, divided into two subsets named Sculptures and Daily Objects. The Sculptures has five human sculptures with complex geometries and pure white textures. The Daily Objects consists of 30 daily objects with various shapes and appearances. All of the Sculptures and nine of the Daily Objects are paired with high-fidelity scanned meshes as ground truth geometries for evaluation.
Source: Reconstructing Hand-Held Objects from Monocular VideoPapers
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