Supplementary Data, Figures, and Analysis Code for "Object-Level Detector Score-Drop Observability in UAV Camera Imagery under Spatially Varying Compound Degradation: An Evidence-Tier Study"
Year: 2026
Type: supplementary-materials
Abstract: This dataset provides supplementary materials supporting the manuscript "Object-Level Detector Score-Drop Observability in UAV Camera Imagery under Spatially Varying Compound Degradation: An Evidence-Tier Study". The repository includes supplementary Tables S1–S5, object-level task-risk ranking results, full-cohort and matched-only analyses, bootstrap statistics, UAVDT sequence-level evaluation results, figure source files, and supporting analysis code. The original VisDrone and UAVDT datasets and pretrained detector checkpoints are not redistributed. The README provides the file structure and information needed to interpret the supplementary results. Original analysis code is licensed under the MIT License, while original study data, figures, and documentation are licensed under CC BY 4.0. Third-party materials remain subject to their respective terms.
Institutions: Shandong Jiaotong University, Shandong Management University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222875886