PlantaNet: Architectural Ablation Study Validation Accuracy Results

Md. Sifat Haque Zidan's ablation study on PlantaNet, focusing on validation accuracy. The dataset is a 5.5 KB XLS file published on figshare under a CC-BY-4.0 license and last updated on April 24, 2026.

Use Cases

• Compare model performance based on validation accuracy metrics from the ablation study.
• Analyze the impact of architectural changes on a plant recognition model.
• Benchmark new plant classification architectures against the ablation results.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and modification.
• Update timestamp (2026-04 24) is provided, indicating recent maintenance.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Md. Sifat Haque Zidan via figshare

Collection Method

Likely results from an experimental ablation study on the PlantaNet model.

Time Range

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Freshness

Last updated 2026-04-24 17:24:16; freshness should be verified.

Geography

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