Edge Computing Framework Performance Metrics for 3D Object Detection

A 5.5 KB Excel file contains experimental results for a multimodal 3D object detection framework. Kangli Zhao authored this dataset, which was last updated on April 16, 2026. The data likely includes metrics comparing delay and accuracy under different computational offloading strategies.

Use Cases

• Benchmarking delay-accuracy trade-offs based on experimental results mentioned in the description
• Evaluating dynamic threshold tuning algorithms for edge computing
• Comparing resolution-adaptive offloading strategies across different models
• Analyzing framework adaptability under varying bandwidth conditions

Strengths

• File size is precisely 5.5 KB, indicating a compact dataset
• Dataset is licensed under CC-BY-4.0, allowing for open reuse
• Last update date is explicitly stated as 2026-04-16

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 experimental results from the described research framework.

Freshness

Last updated 2026-04-16 17:29:04