A Dataset of Human Sperm Microscopy Videos for Detection, Tracking, and Motility Parameter Analysis

Abstract

We present HSMV, a dataset of Human Sperm Microscopy Videos acquired using two imaging systems. These were (i) a commercial Computer-Assisted Semen Analysis (CASA) system, and (ii) an optical microscope. The dataset contains samples from 51 healthy male participants and includes 3,161 video clips (approximately 26 hours of imagery). A subset of the clips from both systems was manually annotated with bounding boxes around each visible sperm head, linked across frames into trajectories, thereby establishing ground truth for detection, tracking, and motility analysis. Specifically, 14 CASA clips and 20 optical-microscope clips (each consisting of 900 frames) were manually annotated, yielding 29,900 frames and roughly 1.49 million sperm annotations. The dataset also includes thousands of unannotated clips captured under varying preparation conditions (washed vs. unwashed), dilution levels, magnifications, and regions of interest. When available, motility parameter reports are provided from either clinical technicians or CASA outputs. We demonstrate the use of this dataset in two example applications: (i) automated sperm detection and tracking using YOLOv5 and SORT, and (ii) visualizations of motility parameters. HSMV offers a comprehensive benchmark for developing and evaluating algorithms for sperm detection, tracking, classification, and motility assessment.