当哈尔训练时，有多少图像用于正面和负面样本？ [英] How many images to use for positive and negative samples when Haar training?

问题描述

我已经阅读了大量有关哈尔培训的内容，而且我不清楚应该使用多少图像用于正负样本集。我看到它建议使用很多图像，有些人推荐数千个。我还不清楚正负样本图像的数量是否应该相同？

I have read a fair amount about Haar training and I'm not clear on how many images one should use for the positive and negative sample sets. I see it recommended to use many images, some people recommend thousands. I'm also unclear of whether the number of positive and negative sample images should be the same?

推荐答案

这是最好的教程关于哈尔训练。你试过这个吗？
http://note.sonots.com/SciSoftware/haartraining.html

Here is the best tutorial on Haar training. Have you tried this? http://note.sonots.com/SciSoftware/haartraining.html

它表示他们使用5000表示正数，3000表示负数。

It says they used 5000 for positive and 3000 for negative.

这链接说3000为正面而5000为负面。
无论如何，更高数量的图像会提高准确性，但也会增加培训时间。

This link says 3000 for positive and 5000 for negative. Anyway, higher number of images improves the accuracy, but it also increases training time.

还要检查其他SO链接here 。

Also check other SO links here.

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