PV_Multi_Defect-corrected — LICENSE ==================================== This file covers TWO different things. Please read both parts. -------------------------------------------------------------------------------- PART 1 — The modifications made in this release -------------------------------------------------------------------------------- The changes made to produce "PV_Multi_Defect-corrected" are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0) Full legal text: https://creativecommons.org/licenses/by/4.0/legalcode These modifications are: * removal of 61 byte-identical duplicate images (61 redundant copies deleted; one copy of each pair was kept), * removal of 2 images that had no annotation file (img3059, img9513) and of 1 annotation file that contained no objects (img7863), * grouping of the single near-duplicate cluster (12 perceptually identical images) so it is assigned entirely to one side of the split and cannot leak across train/val/test, * addition of a seeded, class-stratified train/val/test split (723 / 155 / 166) — upstream ships no split at all, * clean-up of the Pascal VOC metadata: the upstream XML carried a bogus value ("new" / "result2"), a hard-coded local exposing a personal Windows path (C:\Users\86151\Desktop\...), and Unknown, * conversion of the annotations to YOLO format alongside Pascal VOC, * regeneration of classes.txt, data.yaml, the per-split CSV tables and this documentation. NO bounding box coordinate was altered. Only the packaging, the split and the file metadata changed. The image pixels are byte-for-byte identical to upstream. You are free to share and adapt these modifications for any purpose, including commercially, provided you give appropriate credit. -------------------------------------------------------------------------------- PART 2 — The underlying PV-Multi-Defect data (IMPORTANT) -------------------------------------------------------------------------------- The underlying images and annotations originate from the PV-Multi-Defect dataset: PV-Multi-Defect Dataset Photovoltaic (PV) panel multi-defect detection, 5 defect classes. GitHub: https://github.com/houhou34/PV-Multi-Defect Reference: Li, L., Wang, Z. & Zhang, T. (2023). "GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection." Electronics, 12(3), 561. https://doi.org/10.3390/electronics12030561 NO LICENCE IS STATED FOR THE DATASET. * The GitHub repository ships no LICENSE file and no terms of use. * The associated article is published open access by MDPI. Consequently, the copyright status of the underlying PV-Multi-Defect images and annotations is UNDETERMINED. No licence is granted for them by this file. >>> Before any commercial use or redistribution of the image data, you must >>> determine the applicable terms from the original authors >>> (contact: zfwang@ccnu.edu.cn). -------------------------------------------------------------------------------- If you are the rights holder of the PV-Multi-Defect dataset and would like this release changed or removed, please open an issue and it will be actioned promptly. --------------------------------------------------------------------------------