A new commentary and research study by conservation biologist, Zhengyang Wang, has revealed that gaming engines, such as the popular Unity and Unreal Engine, can in fact be used to render hyper-realistic wildlife and animal images that are good enough to pass as legit images when shown to specific AI software.
These learning AIs use images – including these gaming engine-generated ones – as a basis for their training to recognize animals that might pass by and trigger a camera trap. Having extra images helps gradually improve the quality of what is referred to as rare-class categorization.
