Dataset of Packaging Defects and Associated Cost of Poor Quality in a Wine Bottling Process

The dataset is intended for applications in quality control, computer vision, and process improvement in industrial environments. The images are organized into three defect classes: missing cap, missing bottle, and wrong bottle.

Each image reflects actual production conditions, where bottles are arranged in boxes with a capacity of 12 units, consistent with the real packaging configuration. To ensure variability and robustness in visual features, multiple cap colors are included, namely black, red, orange, blue, purple, green, and silver. This diversity supports the development of more generalizable defect detection and classification models.