Name: Drone-based Distribution Inspection Imagery
Creator: Dexter Lewis
License: https://creativecommons.org/licenses/by-sa/4.0/
Keywords: Artificial Intelligence, Power and Energy, Image Fusion, Computer Vision, Energy

Abstract

There is an industry gap for publicly available electric utility infrastructure imagery. The Electric Power Research Institute (EPRI) is filling this gap to support public and private sector AI innovation. This dataset consists of ~30,000 images of overhead Distribution infrastructure. These images have been anonymized, reviewed, and .exif image-data scrubbed. These images are unlabeled and do not contain annotations. EPRI intends to label these data to support its own research activities. As these labels are created, EPRI will periodically update this dataset with those data.

Also, EPRI’s intent is to share these unlabeled images under Creative Commons Attribution-ShareAlike 4.0 International terms. With the ShareAlike term, EPRI hopes to build an AI Community working collaboratively. In doing so, EPRI will consolidate and add contributions (labels/annotations) to this dataset.

Creative Commons Attribution-ShareAlike 4.0 International

https://creativecommons.org/licenses/by-sa/4.0/

EPRI Distribution Taxonomy and Guidance Github Wiki

https://github.com/pkulkarni-epri/DistributionTaxonomy/wiki

Instructions:

These images are not labeled or annotated. However, as these images are labeled, EPRI will update this dataset periodically. If you have annotations you'd like to contribute, please send them, with a description of your labeling approach, to ai@epri.com.

Also, if you see anything in the imagery that looks concerning, please send the image and image number ai@epri.com