Datasets:
PV_Multi_Defect-corrected: 1044 images / 3403 boxes / 5 classes. Removed 61 byte-identical duplicates and 3 orphan/empty files, kept the near-duplicate cluster on one side of a seeded 70/15/15 stratified split, cleaned VOC metadata (personal hard-coded path + bogus folder), added YOLO TXT + classes.txt + data.yaml + CSVs
4d5eac6 | <annotation> | |
| <folder>PV-Multi-Defect</folder> | |
| <filename>img10172.jpg</filename> | |
| <source> | |
| <database>PV-Multi-Defect (Li et al., Electronics 2023)</database> | |
| </source> | |
| <size> | |
| <width>600</width> | |
| <height>600</height> | |
| <depth>1</depth> | |
| </size> | |
| <segmented>0</segmented> | |
| <object> | |
| <name>scratch</name> | |
| <pose>Unspecified</pose> | |
| <truncated>0</truncated> | |
| <difficult>0</difficult> | |
| <bndbox> | |
| <xmin>284</xmin> | |
| <ymin>235</ymin> | |
| <xmax>299</xmax> | |
| <ymax>279</ymax> | |
| </bndbox> | |
| </object> | |
| </annotation> | |