
A study on the types of mistakes that humans make when evaluating images may enable computer algorithms that help us make better decisions about visual information, such as while reading an X-ray or moderating online content.
Researchers from Cornell and partner institutions analyzed more than 16 million human predictions of whether a neighborhood voted for Joe