Stomatalia: Plant Stomata and Pavement Cell Images for Deep Learning

738.4 MB of image data supports a deep learning platform for quantitative plant cell analysis. The dataset, created by Dan Jeric Arcega Rustia, was last updated on June 3, 2026. It contains JPEG and JPG image files alongside PTH model files.

Use Cases

• Training deep learning models for stomata detection based on the provided image files.
• Benchmarking automated cell counting and measurement algorithms for pavement cells.
• Developing image segmentation pipelines for plant tissue analysis using the described platform.

Strengths

• The dataset is 738.4 MB in size, indicating a substantial collection of image data.
• It includes PTH files, which are PyTorch model files, suggesting pre-trained models may be available.

Limitations

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

Provenance

Source

figshare

Collection Method

Supporting data for a publication on a deep learning platform.

Freshness

Last updated 2026-06-03 11:05:12