AI models perform well only when they’re trained on clean, clearly labeled data. Data annotation helps prepare images, text, audio, and video so systems can recognize patterns and deliver accurate results. In the middle of most development cycles, data annotation handles tasks like tagging, transcription, categorization, and entity marking. This improves consistency, reduces noise, an... https://macgence.com/