InsPLAD

홈페이지 · 논문 5편

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

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