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POSITIVE-EXAMPLE-1.png (65.57 kB)
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POSITIVE-EXAMPLE-2.png (24.45 kB)
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POSITIVE-EXAMPLE-3.PNG (14.33 kB)
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NEGATIVE-EXAMPLE-1.png (27.61 kB)
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NEGATIVE-EXAMPLE-2.png (32.67 kB)
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POSITIVE-EXAMPLE-4.png (39.07 kB)
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NEGATIVES.zip (13.47 MB)
ARCHIVE
POSITIVES.zip (11.02 MB)
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NIR Dataset for Palm Unit Identification
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posted on 2020-01-29, 10:16 authored by Isis BonetIsis Bonet, Fabio CaraffiniFabio Caraffini, Alejandro PenaAlejandro Pena, Alejandro Puerta EchandíaAlejandro Puerta Echandía, Mario GongoraMario GongoraThis data-set for image classification (i.e. oil palm unit detection) contains a gallery of Near InfraRed (NIR) photographs generated as explained in the main article "Oil Palm Detection via Deep Transfer Learning".
The data-set is structured in two separate zip archives:
1) POSITIVES.zip contains 356 positive instances (i.e. images containing only a single and complete palm unit);
2)NEGATIVES.zip contains 938 negative instances (i.e. images not containing only a single and complete single palm unit).
Some examples of positive and negative instances are also displayed in this webpage.
The data-set is structured in two separate zip archives:
1) POSITIVES.zip contains 356 positive instances (i.e. images containing only a single and complete palm unit);
2)NEGATIVES.zip contains 938 negative instances (i.e. images not containing only a single and complete single palm unit).
Some examples of positive and negative instances are also displayed in this webpage.
