SOTA is 'state of the art'. Image recognition is a task classically appraised by calculating the accuracy on the ImageNet dataset, which requires a system to classify images each as one of 1,000 pre-determined classes.
Their best results involve 'pretraining' on a dataset of 300 million examples, before 'tuning' it on the actual ImageNet training dataset as above.