Beyond Green: Domain-Aware Self-Validated Instance Counting for Loropetalum and Non-Green Ornamental Species using Annotation-Free Robustness Metrics
A deployment-oriented evaluation framework for dense UAV canopy imagery, where robustness matters as much as raw accuracy.
Benchmark Size
UAV Images
Deployment Correlation
rho = 0.87
Validation Efficiency
~15x Faster
Sampling Speedup
~35x
What Is New In This Methodology
- Annotation-free robustness scoring: replaces expensive full manual validation with four complementary consistency metrics.
- Four-metric deployment lens: RCS (spatial stability), CSC (scale consistency), SVS (semantic-visual coherence), and ARI (repeatability).
- Domain-aware evaluation: tailored for dense non-green ornamental canopies with shadow, occlusion, and color-shift challenges.
- Actionable thresholds: production-ready guidance using RCS > 0.95, CSC > 0.90, SVS > 0.55, ARI > 0.85.