Datasets › Industry Biscuit (Cookie) dataset
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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
GNU General Public License v3.0
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- Industry Biscuit (Cookie) dataset
1 variant name, as the archive lists them.
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