Title: The CAPA Apple Quality Grading Multi-Spectral Image Database
Type Dataset Devrim Unay, Marie-France Destain, Bernard Gosselin, Olivier Kleynen, Vincent Leemans (2018): The CAPA Apple Quality Grading Multi-Spectral Image Database. Zenodo. Dataset. https://zenodo.org/record/1313615
Links
- Item record in Zenodo
- Digital object URL
Summary
The CAPA Apple Quality Grading Multi-Spectral Image Database consists of multispectral (450nm, 500nm, 750nm, and 800nm) images of health and defected apples of bi-color, manual segmentations of defected regions, and expert evaluations of the apples into 4 quality categories. The defect types consist of bruise, rot, flesh damage, frost damage, russet, etc. The database can be used for academic or research purposes with the aim of computer vision based apple quality inspection.
The CAPA Apple Quality Grading Multi-Spectral Image Database is a propriety of ULG (Gembloux Agro-Bio Tech) - Belgium, and cannot be used without the consent of the ULG (Gembloux Agro-Bio Tech), Belgium. For consent, contact Devrim Unay, İzmir University of Economics, Turkey: unaydevrim@gmail.com OR Marie-France Destain, Gembloux Agro-Bio Tech, Belgium: mfdestain@ulg.ac.be
In disseminating results using this database, 1. the author should indicate in the manuscript that it was acquired by ULG (Gembloux Agro-Bio Tech), Belgium. 2. cite the following article Kleynen, O., Leemans, V., & Destain, M.-F. (2005). Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering, 69(1), 41-49.
Relevant publications: Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting. Postharv. Biol. Technol., 30 (2003), pp. 221–232. Leemans and Destain, 2004 V. Leemans and M.F. Destain, A real-time grading method of apples based on features extracted from defects. J. Food Eng., 61 (2004), pp. 83–89. Leemans et al., 2002 V. Leemans, H. Magein and M.F. Destain, On-line fruit grading according to their external quality using machine vision. Biosyst. Eng., 83 (2002), pp. 397–404. Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of ‘Jonagold’ apples on multi-spectral images: A comparative study. Postharv. Biol. Technol., 42 (2006), pp. 271–279. Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on ‘Jonagold’ apples by pattern recognition. J. Food Eng., 78 (2007), pp. 597–605. Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, “Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision”, Computers and Electronics in Agriculture, 75(1), 204-212, 2011.
More information
- DOI: 10.5281/zenodo.1313615
- Language: en
Subjects
- apple, multispectral images, quality inspection, machine vision, computer vision, agriculture
Dates
- Publication date: 2018
- Issued: July 17, 2018
Notes
Other: {"references": ["Kleynen, O., Leemans, V., & Destain, M.-F. (2005). Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering, 69(1), 41-49.", "Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for 'Jonagold' apple sorting. Postharv. Biol. Technol., 30 (2003), pp. 221\u2013232.", "Leemans and Destain, 2004 V. Leemans and M.F. Destain, A real-time grading method of apples based on features extracted from defects. J. Food Eng., 61 (2004), pp. 83\u201389.", "Leemans et al., 2002 V. Leemans, H. Magein and M.F. Destain, On-line fruit grading according to their external quality using machine vision. Biosyst. Eng., 83 (2002), pp. 397\u2013404.", "Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of 'Jonagold' apples on multi-spectral images: A comparative study. Postharv. Biol. Technol., 42 (2006), pp. 271\u2013279.", "Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on 'Jonagold' apples by pattern recognition. J. Food Eng., 78 (2007), pp. 597\u2013605.", "Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, \"Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision\", Computers and Electronics in Agriculture, 75(1), 204-212, 2011."]}Rights
- https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
- info:eu-repo/semantics/openAccess Open Access
Format
electronic resource
Relateditems
| Description | Item type | Relationship | Uri |
|---|---|---|---|
| IsVersionOf | https://doi.org/10.5281/zenodo.1313614 | ||
| IsPartOf | https://zenodo.org/communities/zenodo |