Data Annotation
Data annotation workflows and quality checks, from labelling and bounding boxes to preference ranking, showing how annotation guidelines decide whether a dataset is actually fit to train on.
Data annotation turns raw text, images and audio into training material with answers attached: tagging a sentence with sentiment, drawing boxes around cars and pedestrians in a photo, or ranking two replies by which one reads better. Vague guidelines teach the model vague judgement, so the real cost of the work sits in consistency checks, arbitration of disputed samples and annotator training.
