Wheat Leaf Disease Images, 5,521 Samples Across 5 Classes

Wheat Leaf Disease Dataset contains 5,521 images across five disease classes. The classes include Brown Rust, Yellow Rust, and Loose Smut. The dataset is hosted on Kaggle, but its author, organization, and license are unknown.

Use Cases

• Train image classification models to identify wheat diseases based on the five listed classes.
• Benchmark model performance on a multi-class agricultural image recognition task.
• Develop mobile applications for farmers to diagnose wheat leaf diseases in the field.
• Conduct comparative analysis of visual symptoms for different wheat rusts and smuts.

Strengths

• Contains 5,521 images, providing a substantial base for model training.
• Covers five specific wheat disease classes, offering a multi-class classification challenge.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic or temporal bias inherent to its unspecified collection source on Kaggle.

Provenance

Source

Kaggle