Supplementary LIME PNG Outputs for PV Panel Defect Recognition (PV Panel Defect Dataset, Test Set)

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Authors: Bogdan Diaconu
Cited by: 0

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