Figure

The image dataset for the project "Development of a Machine Learning Model for the Classification of Enterobius vermicularis Eggs" is organized into several datasets:

"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.

"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.

"03_obj_det_original": This dataset contains 103 microscopic images of Enterobius vermicularis eggs, specifically used for the object detection phase of the project.

"04_obj_det_expert": This subset consists of test images annotated with bounding boxes by domain experts, providing precise localization of the Enterobius vermicularis eggs for validation and further model training.