today is the kind of situation when a lot of unlabeled data and label data is very small so this could happen to both in Europe some kind of usual motion journal projects and as well as on Kegel competitions and here probably you could some kind of create some tricky models to build them on this small label data and apply some different techniques but probably the better approach is to somehow use this huge unlabeled data and the reasons why like what will have such situations when the label data is very small the first one is it is expensive