UAVDB

Trajectory-Guided Adaptable Bounding Boxes for UAV Detection

Dataset Information
Modalities
Images
Languages
English
Introduced
2024
Homepage

Overview

UAVDB is a high-resolution RGB video dataset meticulously designed for UAV detection tasks across diverse scales and complex backgrounds. Comprising 10,763 training, 2,720 validation, and 4,578 test images (18,061 total) across datasets and camera configurations, it addresses key limitations of existing datasets, such as inaccurate bounding box annotations and limited diversity in environmental contexts, thereby enhancing the reliability and applicability of detection algorithms in real-world scenarios.

Variants: UAVDB

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
2D Object Detection YOLOv12x UAVDB: Trajectory-Guided Adaptable Bounding Boxes … 2024-09-09

Research Papers

Recent papers with results on this dataset: