Table 3 in An optimised YOLOv 4 deep learning model for efficient malarial cell detection in thin blood smear images
收藏官方服务：
资源简介：
Table 3 Data distribution for training and testing the model DatabaseTotal number of images beforeTraining imagesNumberaugmentationNumber of training images before augmentationNumber of training images after augmentationof testing images aMP-IDB (Dataset A)210168 (80%)100042 (20%)Malaria Research Centre, UNIMAS (Dataset B)472––472 MP-IDB Malaria Parasite Image Database, UNIMAS Universiti Malaysia Sarawak a No augmentation was performed on testing images
提供机构：
Zenodo创建时间：
2025-07-24
