Used retrained pv-vision (original: https://github.com/hackingmaterials/pv-vision, retrained: https://github.com/sandialabs/pvcracks/tree/main/retrain) to extract crack masks from module EL images (uploaded here). These images are used to train our variational autoencoder (VAE) for feature bundling (in the latent space) and crack mask generation (https://github.com/sandialabs/pvcracks/tree/main/VAE)

Dataset Metadata

Author normanj
Maintainer Email nrjost@sandia.gov
Institution SNL
Data Source Type Lab and Experimental
Accelerated? No
Environmental Conditions Not Applicable
Measurement Types EL
Owner normanj

Author normanj
Updated July 3, 2024, 23:19 (UTC)
Created July 3, 2024, 23:18 (UTC)