Training Options Used –

-npos 89
-nneg 479
-nstages 20

The number of positive images used to train this classifier was 89, the number of negative images used was 479 and specified that the number of stages the trainer should try to complete is 20.
During the training phase of this cascade it finished in stage 18, which created 98 total weak classifiers. In this stage it reached the desired minimum false alarm rate, or else the false alarm rate will be too high for real world use.

NEG: 365 2.52601e-006

Hit rate ≈ 33.1%

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