UVInsDet: Visible-Spectrum RGB Images from a Narrow-Angle Ultraviolet Camera for Insulator Detection and Segmentation

UVInsDet is an open dataset of narrow-angle RGB-channel of ultraviolet camera images of high-voltage insulator strings acquired during diagnostic inspections of power substation.

The dataset contains 591 images with 1,415 manually annotated instances belonging to two classes (glass and porcelain insulators). Polygon-based instance segmentation masks are provided as primary ground truth in LabelMe format.

For convenience and reproducibility, COCO-compatible annotations are included as a derived format, generated from the original LabelMe annotations using the provided conversion script.

The dataset is split into training and test subsets by directory structure. Baseline instance segmentation results obtained using Mask R-CNN and Cascade Mask R-CNN are reported in the accompanying manuscript (under review now).

The dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.