Zijian Chen published a performance comparison of state-of-the-art models on the Tomato-Disease dataset on figshare in May 2026. The dataset is a 13.5 KB Excel file containing comparative evaluation results, with the best values bolded.
Use Cases
- Benchmarking new disease detection models based on reported performance metrics
- Selecting optimal algorithms for agricultural image classification tasks based on comparative results
- Analyzing the relative strengths of different model architectures for plant pathology
Strengths
- Performance results are directly compared with state-of-the-art models
- Best values are explicitly bolded for easy identification
- Dataset is openly licensed under CC-BY-4.0
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
- The dataset is very small (13.5 KB), indicating limited scope
Provenance
- Source
- figshare
- Freshness
- Last updated 2026-05-22 17:48:22