Performance Comparison of Deep Learning Backbones on FMA-SMALL Dataset

A 5.5 KB Excel file uploaded by Yunyan Ma on April 9, 2026. It contains a performance comparison of deep learning backbones and a proposed method on the FMA-SMALL dataset. The dataset is licensed under CC-BY-4.0 and hosted on figshare.

Use Cases

• Benchmarking deep learning models based on performance metrics for music classification.
• Comparing the efficacy of a proposed method against established backbones based on the described evaluation.
• Selecting neural network architectures for music analysis tasks based on reported comparative results.

Strengths

• File size is precisely 5.5 KB, indicating a compact and focused dataset.
• License is explicitly CC-BY-4.0, allowing for broad reuse with attribution.
• Last update date is precisely recorded as 2026-04-09 17:38:01.

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 contains results from computational experiments comparing deep learning models.

Time Range

null

Freshness

Last updated 2026-04-09 17:38:01; freshness should be verified.

Geography

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