Supplementary LIME PNG Outputs for PV Panel Defect Recognition (PV Panel Defect Dataset, Test Set)
Abstract
This record contains LIME visualization PNGs derived from the PV Panel Defect Dataset (A. Lenarczyk, 2025, Kaggle), licensed under CC BY-NC-SA 4.0. Accordingly, these derived visual outputs are released under CC BY-NC-SA 4.0. Please cite the source dataset as below: @dataset{alicja_lenarczyk_pv_defects_custom, title={PV Panel Defect Dataset}, author={Alicja Lenarczyk}, year={2025}, url={https://www.kaggle.com/datasets/alicjalena/pv-panel-defect-dataset}, note={License: CC BY-NC-SA 4.0. Based on data from Kaggle and public web sources. Educational use only.}}
Fields of Study & Subjects
Industrial Vision Systems and Defect Detection
Explainable Artificial Intelligence (XAI)
Fault Detection and Control Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026
- Language
- EN