Project-AgML/betel_leaf_disease_classification_2

Betel Leaf Classification A dataset for image classification of Betel Leaf. The dataset contains raw and augmented versions.The raw dataset contains 2,037 images.Images per class: Healthy_Leaf: 1,080 Leaf_Rot: 269 Leaf_Spot: 688 The augmented dataset contains 10,185 images.Images per class: Healthy_Leaf: 5,400 Leaf_Rot: 1,345 Leaf_Spot: 3,440 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/betel_leaf_disease_classification_2.