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    <identifier>10.57760/sciencedb.24455</identifier>
    <datestamp>2025-05-06T15:46:09Z</datestamp>
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  <dc:date>2025-05-06</dc:date>
  <dc:title>Strawberry growth state dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.24455</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset used in this study is sourced from two public strawberry datasets: StrawDI_Db1 and the Strawberry Dataset for Object Detection. StrawDI_Db1 consists of 3,803 images captured in strawberry plantations in Huelva, Spain, during different harvesting activities. These images have a resolution of 4032&amp;times;3024 pixels and are stored in 8-bit per channel JPEG format. Upon release, they were resized to 1008&amp;times;756 pixels and saved in PNG format. The Strawberry Dataset for Object Detection , released by the Natural Resources Institute Finland (Luke) in 2022, contains 813 images for strawberry flower and fruit object detection.After obtaining the datasets, we performed image cleaning, removing blurry and unidentifiable images, and merged them to create a final set of 2,301 images covering multiple growth stages of strawberry flowers and fruits. The merged dataset was split into training, and test sets at a ratio of 8:2, ensuring no overlapping images between subsets, and the test set was not involved in training to ensure the rigor of model evaluation.&amp;nbsp;</dc:description>
  <dc:subject>Growth stage measurement; Object detection; Transformer</dc:subject>
  <dc:creator>Zhenlun Chen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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