Datasets › InsPLAD

InsPLAD (Inspection Power Line Asset Dataset)

Introduced by André Luiz Buarque Vieira e Silva et al. in InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images2 Nov 2023 archive 2025-07-28

InsPLAD is a Dataset for Power Line Asset Inspection containing 10,607 high-resolution Unmanned Aerial Vehicles colour images. It contains 17 unique power line assets captured from real-world operating power lines. Some of those assets (five, to be precise) are also annotated regarding their conditions. They present the following defects: corrosion (4 of them), broken/missing cap (1 of them), and bird's nest presence (1 of them).

Three image-level computer vision tasks covered by InsPLAD:

  • Object detection, evaluated through the AP metric

  • Defect classification, evaluated through Balanced Accuracy

  • Anomaly detection, evaluated through the AUROC metric

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Anomaly Detection InsPLAD AttentDifferNet (SENet-AlexNet) Detection AUROC 94.34 Attention Modules Improve Image-Level Anomaly Detection... andreluizbvs/insplad 5 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY NC 3.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • InsPLAD

1 variant name, as the archive lists them.

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