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This dataset is specifically designed for welding quality inspection, covering three defect categories: "Bad Weld" (defective welds due to poor process such as porosity, cracks, lack of fusion), "Defect" (subtle imperfections like surface irregularities or uneven weld width), and "Good Weld" (standard-compliant samples serving as positive examples).

This dataset is used for welding quality inspection and contains welding images with corresponding labels. Labels are divided into six categories to classify different welding quality issues. The dataset is primarily intended for model training and includes 45,058 training samples.