Overcoming errors in image recognition

Neural network mistakes can often be funny. For example, the Multimodal Recurrent Neural Network proposed in 2015 by Karpathy and Fei-Fei famously mistook a toothbrush for a baseball bat, and wrongly identified a soccer game for a tennis match. Other errors can be dangerous – even the smallest visual error made by an autonomous car or a robotic doctor can be disastrous. When it comes to a virtual technician, errors in object recognition can be humorous such as when the virtual technician mistakes a cable for a snake, but can also be destructive. Hardware devices can be ruined, software can be damaged, and dangerous situations such as electrocution can occur.