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The image dataset for the project "Development of a Machine Learning Model for the Classification of <i>Enterobius vermicularis</i> Eggs" is organized into several datasets:<br><br>"01_training_dataset": This dataset comprises a collection of training images along with their augmented versions, which are employed for the initial model training process.<br><br>"02_testing_dataset": This dataset includes 50 testing images per class (Class 0 and Class 1). These images are used to evaluate the performance of the model.<br><br>"03_obj_det_original": This dataset contains 103 microscopic images of <i>Enterobius vermicularis</i> eggs, specifically used for the object detection phase of the project.<br><br>"04_obj_det_expert": This subset consists of test images annotated with bounding boxes by domain experts, providing precise localization of the <i>Enterobius vermicularis</i> eggs for validation and further model training.本项目“蛲虫（Enterobius vermicularis）卵分类机器学习模型开发”配套图像数据集共分为如下子数据集： “01_训练数据集”：该数据集包含训练原图及其增强变换后的图像集合，用于模型的初始训练流程。 “02_测试数据集”：该数据集按类别（类别0与类别1）各包含50张测试图像，用于评估模型的性能表现。 “03_目标检测原始数据集”：该数据集收录103张蛲虫卵显微图像，专供项目的目标检测环节使用。 “04_专家标注目标检测子集”：该子集包含由领域专家通过边界框标注的测试图像，可为蛲虫卵的精准定位提供标注数据，用于模型验证与后续训练。