I see, currently I'm using roboflow as it is convenient and does have a polygonal labelling tool. By the way, Do you think I should do transfer learning and/or k-fold cross validation too since my dataset is small (325 images)?
most definitely! will try to find a way to update progress. Also I have a feeling that I'm probably using a lot of wrong terms in my attempt to describe different types of leukmemia lol
thankyou for taking the time to answer my question. after reading your answer I've come to the conclusion that image segmentation can improve my model, but I am not using it for it's intended purpose, and also the fact that I have a lot of reading to do :). I do wish to ask tho, do you think I should instead focus on fine tuning my model and getting more dataset to improve the model? Maybe I'm getting too optimistic about instance segmentation.
Old_Scallion2173 OP t1_j95a3nm wrote
Reply to comment by Morteriag in [D] bounding box or instance segmentation by Old_Scallion2173
I see, currently I'm using roboflow as it is convenient and does have a polygonal labelling tool. By the way, Do you think I should do transfer learning and/or k-fold cross validation too since my dataset is small (325 images)?