Fossil diatom microscopy image datasets and annotations for object detection

This dataset primarily consists of scanned images of permanent slides prepared from surface sediments collected across the Southern Ocean for fossil diatom observation. The sampling sites comprise eighteen locations and encompass a wide range of geomorphological settings and depositional systems, making this dataset well-suited for evaluating the performance of object detection models targeting fossil diatoms, as well as for investigating the biogeography of fossil diatoms in paleoenvironmental reconstruction. The dataset is divided into virtual slides, tile images, annotations, and trained models. The virtual slides are high-resolution images obtained by photographing the permanent slides and are provided in NDPI format (the original format of Hamamatsu Photonics K.K.). Each tile image is a JPEG format extracted from the virtual slides, covering a field of view of 552 × 552 μm. YOLO annotations are provided for each tile image and its corresponding folder. These tile images and annotations are specifically designed for detecting Eucampia antarctica (Castracane) Mangin, a diatom species endemic to the Southern Ocean, and are suitable for use as training and testing data in object detection models. The object detection models (YOLOv5x, Ultralytics) trained on a subset of these data are stored under “Trained models.” Note that this dataset includes only selected regions from the areas where tile images were originally captured, due to the storage limitations of the data repository.

本数据集主要包含用于化石硅藻观测的永久玻片扫描图像，该类玻片由南大洋全域采集的表层沉积物制备而成。采样点位共计18处，覆盖多样的地貌环境与沉积体系，使得本数据集非常适用于评估面向化石硅藻的目标检测模型性能，同时也可用于古环境重建中化石硅藻生物地理学的研究。本数据集分为虚拟玻片、分块图像、标注文件与训练模型四类。虚拟玻片为拍摄永久玻片所得的高分辨率图像，以NDPI格式（Hamamatsu Photonics K.K.原生格式）提供。每张分块图像均从虚拟玻片提取，采用JPEG格式，视场范围为552 × 552 微米。为每张分块图像及其对应文件夹提供YOLO标注。本部分分块图像与标注专为检测Eucampia antarctica (Castracane) Mangin（一种南大洋特有硅藻物种）而设计，可作为目标检测模型的训练与测试数据使用。基于本数据集子集训练得到的目标检测模型（YOLOv5x、Ultralytics）存储于"Trained models"目录下。需注意，由于数据存储库的存储空间限制，本数据集仅包含分块图像原始采集区域中的选定区域。