Industry Biscuit (Cookie) dataset (Industrial style dataset for the anomaly detection)

The Industrial Biscuits (Cookie) dataset is our internal dataset designed for the anomaly detection task, which captures Tarallini biscuits. It contains 1225 samples in four classes with the following structure:

• No defect (474 captions)
• Defect: not complete (465 captions)
• Defect: strange object (158 captions)
• Defect: color defect (128 captions)

All classes can be seen in fig. 1. In order to augmentate the dataset we rotated each sample by 90° for three times, so the augmented dataset contains 4900 captures in total. Augmented images were cropped to the size of their bounding boxes, the source samples remained uncropped in the original dataset.