MiDaS Ablation Study: Pothole Depth Estimation Loss Functions

Ablation study results of different loss functions for the MiDaS model in pothole depth estimation. The dataset, 5.5 KB in size, was authored by Waqar Rauf Butt and last updated on May 8, 2026. It compares the performance of the Full SILog loss with gradient matching against variants where gradient or shift invariance is removed, or where SILog is replaced with standard MSE.

Use Cases

• Benchmarking loss function performance for monocular depth estimation based on the described ablation study.
• Analyzing the impact of gradient matching on depth estimation accuracy for potholes.
• Comparing the shift-invariant scale-invariant logarithmic (SILog) loss against standard mean squared error (MSE) loss.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• The description provides a clear, factual comparison of loss function performance outcomes.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scale is very limited, containing only the results of an ablation study.

Provenance

Source

figshare

Collection Method

Likely contains results from computational experiments comparing loss functions.

Freshness

Last updated 2026-05-08 17:54:13; freshness should be verified.