Work

Electric Transmission Infrastructure Satellite Imagery Dataset for Computer Vision

Year: 2021

Type: dataset

Abstract: Overview 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. Data Sources LINZ: Land Information New Zealand USGS: United States Geological SurveySource of imagery tagged as from USGS: U.S. Geological Survey.

Source: Figshare

DOI: 10.6084/m9.figshare.14935434

Authors: Hu, Wei, Huang, Bohao, Bradbury, Kyle, Malof, Jordan, Nair, Varun, Pathirathna, Tamasha, You, Xiaolan, Han, Qiwei, Yang, Jichen, Streltsov, Artem, Collins, Leslie

Language: English

Topic: Power Line Inspection Robots

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W4394232628

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