Articles supporting getting labeling services

[els]

Hi LB Community,

I’m doing a research on how to best utilize LB services. My goal is to find research literature/articles to support the argument of getting labeling services. I’ve read docs in LB’s archive and wonder if there’s more sources from the academic community. So maybe anyone of you ML practitioner here can help?

[Zeke]

Hi @els, it sounds like you have checked out some articles on our website, hopefully including the following:

• Building labeling operations into your core MLOps strategy
• How to Optimize Your Labeling Operations
• 4 strategies for successful labeling operations
• Five key considerations for scaling your data labeling operations

Additionally, our labeling team suggested the following resources from our blog that support the argument for utilizing Workforce Boost:

• New study finds that non-expert labeling teams can create high quality training data for medical use cases
• Optimizing labeling operations: People and processes

Please also keep in mind that Annotate / Workforce Boost is one of many powerful products that Labelbox offers. I encourage you to check out our Catalog and Model features as well!

[els]

Thanks. I’ll into those links.