Seal Integrity in Sterile Barrier Packaging
Authors/Creators
- 1. University of Galway
- 2. University of Galway, Fellow IEEE
Description
Dataset containing 1200 images of Sterile Packaging of size (3008, 4110, 3), where 420 images contain defects and associated mask files.
This dataset was used to support publication: "Automatic Inspecting of Seal Integrity in Sterile Barrier Packaging: a Deep Learning Approach".
Trained models against this dataset can be found on:
- No Augmentation: 10.5281/zenodo.7858060
- Augmentation: 10.5281/zenodo.7858003
File descriptions:
- DS1.zip: Images and masks for the full dataset.
- Full-50.zip: Information for sub-split "Full-50". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-50.zip: Information for sub-split "Partial-50". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-40.zip: Information for sub-split "Partial-40". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-30.zip: Information for sub-split "Partial-30". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-20.zip: Information for sub-split "Partial-20". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-10.zip: Information for sub-split "Partial-10". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-05.zip: Information for sub-split "Partial-05". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
- Partial-01.zip: Information for sub-split "Partial-01". Files: ds_info.json, Tesnting.csv, TrainingXVal.csv
Files
DS1.zip
Files
(6.1 GB)
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Additional details
Related works
- Cites
- Software: 10.5281/zenodo.7859697 (DOI)
- Software: 10.5281/zenodo.7858003 (DOI)
- Is cited by
- Software: https://github.com/JulioZanon/2023_TF01.git (URL)