Object detection tasks are central to the development of datasets and algorithms in computer vision and machine learning. Despite its centrality, object detection remains tedious and time-consuming due to the inherent interactions that are often ...

In recent years, we have seen great advancements in artificial intelligence. Given this new “Age of AI”, an increase in annotated data for training advanced models requires increased support of a large, diverse, and robust population of workers. ...

Previous research shows that laypeople’s trust in a machine learning model can be affected by both performance measurements of the model on the aggregate level and performance estimates on individual predictions. However, it is unclear how people would ...