ETDII Dataset

Paper: GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery

Authors: Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan Malof

This dataset contains fully annotated electric transmission and distribution infrastructure for approximately 264 km2 of high resolution satellite and aerial imagery, spanning 7 cities and 2 countries across 5 continents.

This dataset was designed for training machine learning algorithms to automatically identify electricity infrastructure in satellite imagery; for those working on identifying the best pathways to electrification in low and middle income countries, and for researchers investigating domain adaptation for computer vision.