Project-AgML/orange_leaf_HLB_classification

Orange Leaf Hlb Classification

This dataset contains RGB images of orange leaves captured in a laboratory setting using multiple smartphone models. It is designed for computer vision research focused on detecting Huanglongbing disease and differentiating diseased leaves from non-diseased ones. The dataset contains 324 images across 2 classes: HLB, healthy.
Images per class:

• HLB: 195
• healthy: 129

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

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This dataset was reformatted from its original format to match HuggingFace standards.