Is there a non public version with very reliable arm/mil? Is there a version which can reliably distinguish T-80 with and without Z?
The difficulty is in the training data, both acquiring it and labeling it. Hence why the readme of WALDO alludes so much to their semi-synthetic data. That's also why this commercial project is happy to give out the models, but doesn't publish their data pipeline.
If you have about 100 satellite images each of T-80s with and without Zs, and a couple other satellite images of other tanks and of landscapes without any tanks you can train a T-80 detecting model in a couple hours. And then spend a couple days in a rabbit hole where you figure out that because in your training set only images with tanks had smoke clouds the model now thinks that smoke clouds are linked to tanks, and you end up making larger and larger data sets with tanks and non-tanks from all angles.
Rough.
Medium altitude aerial drone imagery would do it, though - just a matter of building something so cheap & plentiful that it's not worthwhile to shoot down.
Who knows, maybe we've given Ukraine the keys to the castle and they're getting a steady stream of 10cm imagery from the NRO.
> I'm planning to set up a way for people to get the .pt files and the ONNX models with unlimited outputs for people who support further development of the project on Ko-Fi (https://ko-fi.com/stephansturges), the goal being to offset some of the cost of training these networks (over 60K USD spent on AWS to date! )
Not everyone has that kind of spare cash around
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.