AI RESEARCH
CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception
arXiv CS.AI
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ArXi:2601.03302v2 Announce Type: replace-cross We present CageDroneRF (CDRF), a large-scale benchmark for Radio-Frequency (RF) drone detection and identification built from real-world captures and systematically generated synthetic variants. CDRF addresses the scarcity and limited diversity of existing RF datasets by coupling extensive raw recordings with a principled augmentation pipeline that (i)~precisely controls Signal-to-Noise Ratio (SNR), (ii)~injects interfering emitters, and (iii)~applies frequency shifts with label-consistent bounding-box recomputation for detection.