X-AnyLabeling v4: Building a Unified Data Engine for Human-in-the-Loop Vision Systems
· 30 min read
Modern vision models can detect an object, segment it, track it through a video, read the text inside it, or describe it in natural language. Yet producing a reliable dataset is still much harder than running inference once. Predictions arrive in incompatible forms; model errors must be corrected without discarding useful work; relationships between objects need to survive export; and every accepted annotation should remain traceable to the image, frame, or document from which it came.