Anomaly Detection in Solar Modules with Infrared Imagery
Image classification is a machine learning task that involves assigning a label or class to an input image. In the context of the Infrared Solar Modules dataset, image classification can be used to identify anomalies in solar panel imagery. To achieve this goal, A convolutional neural network (CNN)...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01069.pdf |