guide
10 training data practices used by the most successful AI teams
Machine learning teams today are confronted by a variety of challenges around the development of training, such as building an efficient and optimized labeling pipeline, improving the quality of labeled data, incorporating advanced methodologies such as automation, and more.
At Labelbox, we’ve partnered with hundreds of leading AI teams across industries to develop solutions to these challenges. In this ebook, you’ll discover:
Common roadblocks faced by AI teams
The collaborative workflows used by highly successful ML teams
Processes, standards, and tools that enable the creation of high-quality training data and AI breakthroughs
How teams can prepare for and address unexpected issues such as edge cases
