Polyp-Size: A Precisely Annotated Endoscopic Dataset for AI-Assisted Polyp Sizing

The Polyp-Size dataset consists of 42 high-resolution white-light colonoscopy videos with vernier caliper-validated polyp measurements, accompanied by comprehensive metadata including patient demographics, equipment specifications, precise polyp sizes, Paris classifications, anatomical locations, and histological findings. The videos are standardized to 1000×1170 pixels at 30fps, with each video averaging 9.76 seconds in duration, making this dataset uniquely valuable for developing AI-based polyp size estimation systems.息肉尺寸数据集（Polyp-Size Dataset）收录42段高分辨率白光结肠镜检查视频，所有息肉尺寸均经游标卡尺（vernier caliper）实测验证，并配套包含多维度信息的完整元数据，涵盖患者人口统计学特征、设备技术参数、精准息肉尺寸、巴黎分型（Paris classification）、解剖定位以及组织病理学检查结果。所有视频均标准化为1000×1170像素分辨率、30帧每秒（fps）的制式，单段视频平均时长为9.76秒，这使得该数据集在研发基于人工智能（AI）的息肉尺寸估计算法系统领域具备独特的应用价值。