ImageJ Scripts and Models for Pixel-Based Leaf Rust Segmentation

María-José Romero-Jiménez provides a 1.5 GB collection of ImageJ scripts and models for pixel-based image segmentation of leaf rust. The dataset includes files in MODEL, BSH, ARFF, and IJM formats and was last updated on April 22, 2026. It is shared under a CC-BY-4.0 license.

Use Cases

• Train image segmentation models for leaf rust detection based on the provided MODEL files.
• Automate pixel-level analysis of plant disease images using the included ImageJ scripts.
• Benchmark segmentation algorithms for agricultural computer vision tasks using the provided data and scripts.

Strengths

• Dataset size is 1.5 GB, indicating substantial content.
• Includes multiple file formats (MODEL, BSH, ARFF, IJM) for different use cases.
• Has a specific, clear purpose for leaf rust image segmentation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely contains scripts and models created for image analysis in plant pathology.

Time Range

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Freshness

Last updated 2026-04-22 21:06:18; freshness should be verified.

Geography

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