MiniImageNet: Model Identification Accuracy Scores

Jianxiong Chen published a dataset on figshare in April 2026 containing model performance metrics. The dataset, licensed under CC-BY-4.0, is a 5.5 KB Excel file. It likely contains identification accuracy scores for various models evaluated on the MiniImageNet benchmark.

Use Cases

• Benchmarking model performance on the MiniImageNet dataset based on the reported accuracy scores.
• Comparing the relative effectiveness of different computer vision architectures.
• Analyzing trends in model accuracy for few-shot image classification tasks.

Strengths

• Clear licensing under CC-BY-4.0 for open use.
• Small file size (5.5 KB) facilitates quick download and inspection.
• Focus on a well-known computer vision benchmark (MiniImageNet).

Limitations

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

Provenance

Source

figshare

Collection Method

Likely compiled from model evaluation results on the MiniImageNet dataset.

Time Range

Publication date is 2026-04-28; temporal coverage of the underlying evaluations is unknown.

Freshness

Last updated 2026-04-28 17:42:56; freshness should be verified.

Geography

null