Tomato Disease Dataset Performance Comparison with Baseline

A performance comparison table for a machine learning model tested on the Tomato-Disease dataset, with better values bolded. The 17.5 KB XLS file was authored by Zijian Chen and last updated on May 22, 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking new plant disease classification models based on the described performance metrics.
• Comparing algorithm performance against a baseline method for the Tomato-Disease dataset.
• Selecting models for agricultural AI applications based on the reported evaluation results.

Strengths

• File size is precisely known (17.5 KB), indicating a compact, focused dataset.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Provides a direct performance comparison, which is a specific use case for benchmarking.

Limitations

• Row count and column definitions are unknown, limiting assessment of data scale and structure.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset is very small (17.5 KB), indicating limited scope, likely containing only summary statistics.

Provenance

Source

figshare, authored by Zijian Chen

Freshness

Last updated 2026-05-22 17:48:20; freshness should be verified