Part 3/12:
The data annotation industry has undergone remarkable transformation over the past few years. Originally a niche activity focused on labeling images and videos with bounding boxes and polygons, it has broadened into a sophisticated ecosystem integrating automation, human expertise, and advanced technology.
Today's organizations employ a variety of models—over 20 prominent ones—to perform initial annotations, which are then refined through human feedback. This symbiotic loop leverages reinforcement learning with human feedback (RLHF), making the annotation process more efficient and adaptive. Instead of manual efforts from scratch, companies now use prompt-based generative AI solutions to generate initial samples, dramatically reducing labor and accelerating timelines.