Comparison of CNN Backbone Network Layers for Computer Vision

A 5.5 KB Excel file by Bo Li, last updated on 2026-04-29, compares different layers of Convolutional Neural Network (CNN) backbone architectures. The dataset likely contains tabular results from an experiment where only the CNN module varied, with all other configurations held constant. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking the performance of different CNN backbone layers based on the described experimental setup.
• Informing architecture selection for neural network design based on comparative results.
• Reproducing or validating the findings from the associated research method.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• The experimental design isolates the variable of interest (CNN backbone layers) by keeping other configurations identical.

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

Bo Li via figshare

Collection Method

Likely generated from a controlled computer vision experiment comparing CNN architectures.

Freshness

Last updated 2026-04-29 17:57:18; freshness should be verified.