arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral
PipeMFL-240K: A Large-scale Dataset and Benchmark for Object Detection in Pipeline Magnetic Flux Leakage Imaging
Publisher summary· verbatim
arXiv:2602.07044v4 Announce Type: replace-cross Abstract: Pipeline integrity is critical to industrial safety and environmental protection, with Magnetic Flux Leakage (MFL) detection being a primary non-destructive testing technology. Despite the promise of deep learning for automating MFL interpret
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Originally published on arxiv ↗