AppleScabFDs

This dataset is collected during project lzp-2019/1-0094 "Application of deep learning and datamining for the study of plant-pathogen interaction: the case of apple and pear scab". The collection of digital images were carried out in different locations of Latvia. Digital images were collected by the Institute of Horticulture (LatHort). Dataset contains classified images saved in two folders: "Healthy" and "Scab" to identify their categories. Originally dataset was published in Kaggle repository: https://www.kaggle.com/datasets/projectlzp201910094/applescabfds If you use our dataset, please cite as: S. Kodors, G. Lacis, O. Sokolova, V. Zhukovs, I. Apeinans and T. Bartulsons. 2021. Apple Scab Detection using CNN and Transfer Learning. Agronomy Research, 19(2), 507–519. doi: 10.15159/AR.21.045