small-models-for-glam/index-card-detection-v3

这是一个用于档案扫描中索引卡目标检测的训练数据集。它整合了四个公开的馆藏集合——苏格兰国家图书馆（NLS）倡导者图书馆的单卡页面、美国海军护士军团的多卡传记记录表、波士顿公共图书馆的目录卡片以及杜克大学鲁宾斯坦手稿目录卡片——统一到一个目标检测模式中。该数据集包含来自四个机构馆藏的1,425张档案扫描图像。构建此数据集旨在扩展现有的单卡NLS检测器（NationalLibraryOfScotland/archival-index-card-detector），使其能够处理多卡扫描图像以及来自其他机构的预裁剪单卡图像，同时不损害原始NLS数据分布上的性能。

A training dataset for object detection of index cards in archival scans. Combines four publicly-released collections — NLS Advocates Library single-card pages, US Navy Nurse Corps multi-card biographical sheets, Boston Public Library catalog cards, and Duke Rubenstein manuscript catalog cards — into a single object-detection schema. 1,425 archival scans across four institutional collections. Constructed to extend the existing single-card NLS detector (NationalLibraryOfScotland/archival-index-card-detector) to handle multi-card scans and pre-cropped single-card images from other institutions, without regressing on the original NLS distribution.