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大豆作物杂草检测,将植物图像分为4类

大豆作物杂草检测,将植物图像分为4类

2.36G
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Earth and Nature Classification

From the set of images captured by the UAV, all those with occurrence of weeds were selected resulting a total of 400 im......

数据结构 ? 2.36G

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    From the set of images captured by the UAV, all those with occurrence of weeds were selected resulting a total of 400 images. Through the Pynovisão software, using the SLIC algorithm, these images were segmented and the segments annotated manually with their respective class. These segments were used in the construction of the image dataset.

    Content

    This image dataset has 15336 segments, being 3249 of soil, 7376 of soybean, 3520 grass and 1191 of broadleaf weeds.


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