Hardware Specifications for Building Segmentation Algorithm Evaluation

5.5 KB of tabular data in XLS format, authored by Asim Shoaib and last updated on May 15, 2026. The dataset likely contains hardware specifications related to evaluating a novel building segmentation method for remote sensing imagery. The proposed method achieved an F-measure of 0.91 and a goodness of segmentation score of 0.92 on the WHU buildings dataset.

Use Cases

• Benchmarking segmentation algorithm performance based on reported F-measure and Gs scores
• Comparing hardware requirements for different remote sensing image processing workflows
• Supporting reproducibility of the described adaptive thresholding and region merging approach

Strengths

• Clear license (CC-BY-4.0) facilitating reuse and sharing
• Specific performance metrics (F-measure 0.91, Gs 0.92) are provided for the associated method

Limitations

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

Provenance

Source

Asim Shoaib via figshare

Collection Method

Likely generated as part of research on a novel segmentation approach for remote sensing images.

Time Range

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Freshness

Last updated 2026-05-15 17:26:36; freshness should be verified

Geography

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