generalisation is 90% of the problem yep. This model is trained with a lot of augmentations and quite diverse data, but it still really needs fine tuning to specific use cases to get great efficiency unless you don’t care about false positives.

> Looks like the model was trained on clean urban environment videos.

But they should now have tons of video data with their landscape and their threats to fine-tune on. It's going to need plenty of labor but they also happen to have tons of maimed soldiers who can't fight anymore.