Labelbox ：2025年数据标注自动化权威指南报告（英文版）

Developing and maintaining a performant service using supervised machine learning requires a vast amount of high-quality training data. Labeling this data is often the most time-consuming task in the machine learning process. Research has shown that models perform better when they are trained on more data on a day-by-day, iteration-by-iteration basis. Training a model can take a long time, which means that iterations can then take weeks to complete, just because of the time it takes to prepar