First Name
Dexter
Last Name
Lewis
Data Competition Entries from this Author
Following the successful completion of two collaboration projects on AI, IERE has proposed a third initiative. We are now extending this invitation for the "Artificial Intelligence (AI) Collaboration Project" to all IERE members, inviting your participation in this exciting opportunity.
Please kindly confirm your participation by sending the attached Answer Sheet to IERE Central Office by March 10, 2025.
We look forward to your positive response and active participation in this project.
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The Electric Power Research Institute (EPRI) is building a community to advance utility infrastructure inspection. To jumpstart collaboration EPRI is sharing labeled datasets. These data may support immediate and future research. Advances in automated inspection workflows can benefit society. Future tools may revolutionize traditional workflows and have safety, quality, and efficiency benefits to utilities and consumers. More situational awareness of eclectic utility infrastructure can reduce the likelihood of in-service equipment failures.
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Open Access Entries from this Author
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. 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.
Update: July 2022
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