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A computer vision model cannot tell a pedestrian from a traffic cone — unless someone first showed it the difference, thousands of times over, in annotated images. Image annotation is that process: it turns...
Your ML model is only as good as the data it learned from — and raw data, on its own, teaches a model nothing. Data annotation is what changes that. It turns unstructured images,...
Most ML teams use data labelling and data annotation interchangeably — and then run into trouble when one approach fails to deliver what the model actually needs. The confusion is understandable: both involve preparing...
