ImageJ Scripts and Models for Pixel-Based Leaf Rust Segmentation
by María-José Romero-Jiménez·Updated 2mo ago
1.5 GB7files
Available on 1 platform
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Description
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
null
Freshness
Last updated 2026-04-22 21:06:18; freshness should be verified.
Geography
null
Requires ImageJ or compatible software to utilize the provided scripts and models.