  Static meshes with texture map are widely used in modern industrial and
manufacturing sectors, attracting considerable attention in the mesh
compression community due to its huge amount of data. To facilitate the study
of static mesh compression algorithm and objective quality metric, we create
the Tencent - Static Mesh Dataset (TSMD) containing 42 reference meshes with
rich visual characteristics. 210 distorted samples are generated by the lossy
compression scheme developed for the Call for Proposals on polygonal static
mesh coding, released on June 23 by the Alliance for Open Media Volumetric
Visual Media group. Using processed video sequences, a large-scale,
crowdsourcing-based, subjective experiment was conducted to collect subjective
scores from 74 viewers. The dataset undergoes analysis to validate its sample
diversity and Mean Opinion Scores (MOS) accuracy, establishing its
heterogeneous nature and reliability. State-of-the-art objective metrics are
evaluated on the new dataset. Pearson and Spearman correlations around 0.75 are
reported, deviating from results typically observed on less heterogeneous
datasets, demonstrating the need for further development of more robust
metrics. The TSMD, including meshes, PVSs, bitstreams, and MOS, is made
publicly available at the following location:
https://multimedia.tencent.com/resources/tsmd.
