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The CAPA Apple Quality Grading Multi-Spectral Image Database

<p>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.&nbsp;The defect types consist of bruise, rot, flesh damage, frost damage, russet, etc.&nbsp; The database can be used for&nbsp;academic or research purposes with the aim of computer vision based apple quality inspection.</p> <p>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.&nbsp;<br> For consent, contact<br> Devrim Unay, İzmir University of Economics, Turkey: unaydevrim@gmail.com<br> OR<br> Marie-France Destain, Gembloux Agro-Bio Tech, Belgium: mfdestain@ulg.ac.be</p> <p><br> In disseminating results using this database,&nbsp;<br> 1. the author should indicate in the manuscript that it was acquired by ULG (Gembloux Agro-Bio Tech), Belgium.<br> 2. cite the following article Kleynen, O., Leemans, V., &amp; 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.</p> <p>Relevant publications:<br> Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for &lsquo;Jonagold&rsquo; apple sorting. Postharv. Biol. Technol., &nbsp;30 &nbsp;(2003), pp. 221&ndash;232.<br> 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., &nbsp;61 &nbsp;(2004), pp. 83&ndash;89.<br> 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., &nbsp;83 &nbsp;(2002), pp. 397&ndash;404.<br> Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of &lsquo;Jonagold&rsquo; apples on multi-spectral images: A comparative study. Postharv. Biol. Technol., &nbsp;42 &nbsp;(2006), pp. 271&ndash;279.<br> Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on &lsquo;Jonagold&rsquo; apples by pattern recognition. J. Food Eng., &nbsp;78 &nbsp;(2007), pp. 597&ndash;605.<br> Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, &ldquo;Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision&rdquo;, Computers and Electronics in Agriculture, 75(1), 204-212, 2011.<br> &nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
0

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