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                <identifier>oai:data.mendeley.com/4s9xjc6zjf.1</identifier>
                <datestamp>2024-05-28T09:36:39Z</datestamp>
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    <dc:creator>Zhou, Lei</dc:creator>
    <dc:title>Camellia oleifera fruit detection dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset includes Camellia oleifera fruit images and the labels for YOLO detection model training. 
The dataset is divided into 3 sub-datasets, including 1012 samples in &apos;train&apos;, 337 in &apos;validation&apos; and 328 in &apos;test&apos;. 
The format of the labels are that required by YOLOv8 detection.</dc:description>
    <dc:subject>Forestry</dc:subject>
    <dc:subject>Object Detection</dc:subject>
    <dc:subject>Fruit</dc:subject>
    <dc:contributor>Jin, Shouxiang</dc:contributor>
    <dc:contributor>Wang, Jinpeng</dc:contributor>
    <dc:contributor>Zhang, Huichun</dc:contributor>
    <dc:contributor>Shi, Minghong</dc:contributor>
    <dc:contributor>Zhou, Hongping</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/4s9xjc6zjf.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/4s9xjc6zjf.1</dc:identifier>
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    <dc:date>2024-05-28T09:36:39Z</dc:date>
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