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

Forfatter normanj
Vedlikeholders e-post nrjost@sandia.gov
Institution SNL
Data Source Type Lab and Experimental
Accelerated? No
Environmental Conditions Not Applicable
Measurement Types EL
Owner normanj

Forfatter normanj
Updated 3. juli 2024, 23:19 (UTC)
Opprettet 3. juli 2024, 23:18 (UTC)