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.

为了促进静态网格压缩算法和客观质量度量的研究，我们创建了腾讯-静态网格数据集（TSMD），其中包含具有丰富视觉特征的42个参考网格。通过为多边形静态网格编码的Call for Proposals于6月23日发布的失真压缩方案生成了210个变形样本，并使用处理过的视频序列进行了大规模的基于众包的主观实验，从74个观众那里收集了主观评分。对新数据集进行了分析以验证其样本的多样性和均值意见得分（MOS）的准确性，确立了其异构性和可靠性。评估了最先进的客观度量指标在新数据集上的性能，并报告了约为0.75的Pearson和Spearman相关性，与在较少异构数据集上通常观察到的结果不同，表明有必要进一步发展更强大的度量指标。TSMD被公开发布，包括网格、PVS和比特流以及MOS，可以在以下位置获取：this https URL

TSMD：静态彩色网格质量评估研究的数据库