lugan's picture
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
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<annotation>
<folder>PV-Multi-Defect</folder>
<filename>img10010.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>hot_spot</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>73</xmin>
<ymin>47</ymin>
<xmax>92</xmax>
<ymax>62</ymax>
</bndbox>
</object>
<object>
<name>hot_spot</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>75</xmin>
<ymin>26</ymin>
<xmax>92</xmax>
<ymax>41</ymax>
</bndbox>
</object>
<object>
<name>hot_spot</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>109</xmin>
<ymin>14</ymin>
<xmax>140</xmax>
<ymax>39</ymax>
</bndbox>
</object>
<object>
<name>hot_spot</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>114</xmin>
<ymin>45</ymin>
<xmax>135</xmax>
<ymax>63</ymax>
</bndbox>
</object>
</annotation>