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为深度学习算法构建图像分类库
BILDA的目的是提高我们使用的检测算法的检测率。
到目前为止,检测率太低,不可能仅使用算法进行分析。
这意味着第三方必须手动验证算法无法自行批准的数据。
通过创建一个应用程序,让其他人只需在图像上滑动即可验证算法中的数据,
预计检测率可提高至 95% 准确率,
这将大大减少手动验证数据所花费的资源。

比尔达
为深度学习算法构建图像分类库
The purpose of BILDA is to improve the detection rate of the detecion algorithm we use.
Until now, the detection rate has been too low for it to be possible to use analyses from the algorithm exclusively.
This means that a third party must manually verify the data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images, it is expected that the detection rate can be improved by up to 95% accuracy, which will drastically reduce resources spent on manually verifying the data.
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