Common Mistakes In Data Annotation Projects – TeachThought
Good training data is key for AI models. Mistakes in data labeling can cause wrong predictions, wasted resources, and biased results. What is the biggest issue? Problems like unclear guidelines, inconsistent labeling, and poor annotation tools slow projects and raise costs. This article highlights what...