What is data annotation, and why do I need it?
Data annotation is the process of labeling data (text, images, audio, video) to make it understandable for Al models. It's essential because machine learning algorithms learn from labeled examples.
How long does a typical annotation project take?
Turnaround time depends on the volume and complexity. We provide realistic delivery estimates upfront.
How do you ensure quality in annotations?
We implement multi-step quality assurance processes, including human review, annotation guidelines check, and tool-assisted error detection.