No fluff. Just what actually matters when you're scaling annotation pipelines, evaluating vendors, and shipping AI products fast.
A practical guide for LiDAR and spatial computing teams — annotation types, the quality benchmarks that matter, and how to scale point cloud labeling without sacrificing accuracy.
Your model can only be as consistent as the humans who labeled its training data. IAA is the metric that tells you whether your annotation team actually agrees on what they're labeling — and why a low score quietly destroys model performance before you ever see an error rate.
Most AI teams hire annotation vendors after a demo and a pricing call. Here's the framework we'd use to hire right the first time — domain expertise, QA processes, speed, and data security.
Download our free checklist — 12 questions with scoring rubric, green flags, and red flags.
Get the Free Checklist → Talk to Our Team