AI models can only learn from the information they’re given, and that makes data annotation essential. It turns raw images, text, audio, and video into structured training data that models can understand. In the middle of most AI workflows, data annotation supports tasks like labeling objects, tagging entities, marking sentiment, and transcribing audio. This improves model accuracy, r... https://macgence.com/