Hello, first thank you very much for this helpful repository.
I am using this algorithm for my own data set of mammographs in order to detect tumors.
In my case there are a lot of images with multiple objects. I know that it is instructed to write a distinct row for each label, like there are two different images with a single object. and so i did.
but then i thought about it and it seems that this feature of only one object per image is really bad, because in a lot of cases my algorithm might detect a true tumor, but because it is not the one that he compares to (only one label per image) it would suffer a great loss.
someone here knows how to bypass this problem, or explain to me if my argument is false.
Thanks in advance.
Hello, first thank you very much for this helpful repository. I am using this algorithm for my own data set of mammographs in order to detect tumors. In my case there are a lot of images with multiple objects. I know that it is instructed to write a distinct row for each label, like there are two different images with a single object. and so i did. but then i thought about it and it seems that this feature of only one object per image is really bad, because in a lot of cases my algorithm might detect a true tumor, but because it is not the one that he compares to (only one label per image) it would suffer a great loss. someone here knows how to bypass this problem, or explain to me if my argument is false. Thanks in advance.