This is really neat. Is the idea that people will finetune from these pre-trained weights?

Would be really curious to learn the delta in model performance on downstream tasks relative to training from randomly initialized weights or generic weights like COCO.

We released a benchmark dataset of real-world tasks shared by users recently that has several aerial detection datasets you might be able to use to measure this: https://www.rf100.org

(And if you need help this sounds like exactly the type of thing we’d be interested in collaborating on!)

Edit: we also have a bunch more aerial datasets listed here that could be useful for this: https://universe.roboflow.com/browse/aerial