Closed JulianJB closed 2 years ago
Thanks for proposing. I agree that it makes sense to limit the number of training samples. Currently, oversampling together with three values for fixed is not implemented. If anybody wants to take a look at it, please open a new issue.
I understand that by version
0.4.3
it is possible to specify the exact number of items for the validation and test sets by using the flag --fixed, however, as the documentation states:The remaining items constitute the training set. e.g. for train/val/test
100 100
or for train/val100
.Meaning that you can currently specify the number of items for the validation and test sets but not for the training set, so in a scenario where a given range of images (i.e. a subset from a larger dataset) it would be useful to be able to specify a fixed number of items for each of the sets.
More than an issue, a feature request. Thanks.