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KeenForgeAI
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PV_Multi_Defect-corrected

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>img10067.jpg</filename>
	<source>
	<database>PV-Multi-Defect (Li et al., Electronics 2023)</database>
	</source>
	<size>
	<width>600</width>
	<height>600</height>
	<depth>1</depth>
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	<pose>Unspecified</pose>
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