InsPLAD

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