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    <identifier>10.57760/sciencedb.j00001.00713</identifier>
    <datestamp>2023-02-03T09:39:58Z</datestamp>
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  <dc:date>2023-02-03</dc:date>
  <dc:title>Annotated Video Dataset of Oil Palm Fruit Bunch Piles for Ripeness Grading</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.00713</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset was obtained directly from palm oil mills in the form of videos and images with different categories in accordance with the real conditions faced by the grading section of the palm oil mill. The video dataset consists of 45 videos with a single category of FFB videos and 56 videos with a collection of FFB with multiple categories for each video. Videos are collected using a smartphone with a size of 1280 x 720 pixels in .mp4 format. In addition, this dataset has also been annotated and labeled the maturity level of oil palm fruit with 6 categories, namely unripe, underripe, ripe, overripe, empty bunches, and abnormal fruit. The number of annotated images for 6 categories of maturity level is 4160 with the number of objects labeled 14559. This dataset is useful for developing algorithms for detecting and classifying the maturity level of oil palm fruit bunches and can be applied to real-time use with robots or smartphones.</dc:description>
  <dc:subject>Annotated video dataset; Oil palm fruit palm bunch piles; Ripeness grading activity</dc:subject>
  <dc:creator>Suharjito</dc:creator>
  <dc:creator>FRANZ ADETA JUNIOR</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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