Grape Leaf Disease Augmented Dataset: 18,054 Images Across 4 Classes

18,054 images of grape leaves across four classes: ESCA, Leaf Blight, Black Rot, and Healthy. The dataset was created by author adamkatchee as a modification of the original PlantVillage dataset. It was last updated on 2025-05-08.

Use Cases

• Train image classification models to identify ESCA disease in grape leaves.
• Develop models for detecting Black Rot disease from leaf imagery.
• Create diagnostic tools for distinguishing between Leaf Blight and healthy grape leaves.
• Benchmark performance of different data augmentation techniques on plant disease datasets.

Strengths

• Contains 18,054 images, providing a substantial volume for model training.
• Covers four distinct classes, enabling multi-class classification tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2025-05-08 12:01:53; freshness should be verified.

Provenance

Source

PlantVillage dataset (Kaggle)

Collection Method

Augmented/modified version of an existing dataset.

Freshness

Last updated 2025-05-08 12:01:53