Human-in-the-loop (HITL)
What is human-in-the-loop?
Human-in-the-loop (HITL) is a critical process in data annotation that blends human expertise with machine automation. This hybrid approach is highly effective in ensuring high-quality labeled datasets, particularly for machine learning models that power AI (artificial intelligence) applications.
Benefits of human-in-the-loop
Increased accuracy
Combining human expertise with machine automation ensures the highest possible data quality
Efficient handling of edge cases
Machines may struggle with ambiguous or rare cases, but human annotators can provide the necessary context for accurate labeling
Cost efficiency
While human involvement is necessary, the automation of simple tasks reduces the overall cost, making the process efficient and scalable