We’ve been working with maDLC 2.26 and are enjoying the performance upgrades – thank you for your hard work!
We are just expanding our datasets now and wanted a bit of advice.
We have a max of three subjects, or individuals, in a given frame but this varies across a given video as they move in and out of the picture. It’s relatively infrequent that they’re all in frame together.
Is it okay to label frames with just one or two subjects? or would the eventual model perform best if the dataset was created pretty much exclusively with frames where all individuals are in view?
Could you comment on how the number of individuals annotated in a given frame affects the performance of the eventual trained model?