Biomedical Foundation Model Performance on ImageNet-1K

A 5.5 KB Excel file compares the performance of multiple biomedical foundation models on the ImageNet-1K benchmark. The dataset, created by Mirza Nasir Hossain, was last updated on March 18, 2026. It likely contains tabular metrics where bold values indicate the best performance for each model.

Use Cases

• Benchmarking model accuracy based on reported performance metrics.
• Selecting a top-performing biomedical vision model for transfer learning.
• Analyzing the comparative landscape of foundation models on a standard image classification task.

Strengths

• File size is 5.5 KB, ensuring fast download and easy inspection.
• Data is licensed under CC-BY-4.0, permitting broad reuse with attribution.
• Update timestamp from March 2026 suggests recent curation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size indicates a very limited scope, likely a summary table rather than raw data.

Provenance

Source

Mirza Nasir Hossain via figshare

Collection Method

Likely compiled from published model evaluations or benchmark results.

Freshness

Last updated 2026-03-18 17:38:50.