hi, Davis !
i want to make my own classifier. for example, like upper body.
so, i manually draw square and circle.
Is there any more convenient way?
how many sample should i do for good detecting?
thanks.
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
i am newbie,
i think you are already know how to use imglab.
i think you have to train simillar target (like face)
i think you have to keep same aspect ratio in imglab.
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
hi, Davis !
i want to make my own classifier. for example, like upper body.
so, i manually draw square and circle.
Is there any more convenient way?
how many sample should i do for good detecting?
thanks.
That's the only way there is to do it. If there was an automatic way then
you wouldn't need the training data in the first place :)
You keep making the dataset bigger until you either give up or notice that
the performance of the learned model stops increasing.
Thank you, Davis !!
Last edit: Jungsae Yim 2016-06-02
Hope your day's good Davis, I like to learn from you in imglab, should we also include negative samples? How can we do this with imglab? :)
Much appreciation to all here :)
Last edit: Kenny Low 2016-06-02
i am newbie,
i think you are already know how to use imglab.
i think you have to train simillar target (like face)
i think you have to keep same aspect ratio in imglab.
@Kenny Anything you don't label is assumed to be a negative sample automatically.