VISEM: A Multimodal Video Dataset of Human Spermatozoa

Real multimedia datasets that contain more than just images or text are rare. Even more so are open multimedia datasets in medicine. Often, clinically related datasets only consist of image or videos. We present a dataset that is novel in two ways. Firstly, it is a multi-modal dataset containing different data sources such as videos, biological analysis data, and participant data. Secondly, it is the first dataset of that kind in the field of human reproduction. It consists of anonymized data from 85 different participants. We hope this dataset will inspire people to apply their knowledge in this important field, generate shareable results in the domain, and ultimately improve human infertility investigation and treatment.仅包含图像与文本之外内容的真实多模态多媒体数据集较为稀缺，而医学领域的开放多模态多媒体数据集则更为罕见。临床相关数据集通常仅由图像或视频构成。我们在此介绍一款兼具双重创新性的数据集：其一，该数据集为多模态（multi-modal）数据集，涵盖视频、生物学分析数据以及受试者数据等多种数据源；其二，它是人类生殖领域内首款同类型数据集。该数据集包含来自85名不同受试者的匿名化数据。我们期望本数据集能够激励研究者将其知识应用于这一重要领域，产出该领域内可共享的研究成果，并最终推动人类不孕症的诊疗与研究水平提升。