LabelLens

LabelLens is a web app (with optional desktop uploader) that helps small teams create high-quality labeled datasets for supervised learning without hiring a labeling army. It ingests images, text, or tabular rows, then uses weak models to pre-label and rank items by uncertainty so humans only review what matters. It enforces consistent labeling via guidelines, examples, and automatic conflict detection between annotators. The app tracks label quality with inter-annotator agreement, spot-check sampling, and drift alerts when new data no longer matches the training distribution. Output is clean, versioned datasets plus a simple baseline model report so teams can validate whether more labeling will actually improve performance. This is an AI app + traditional app combination: AI accelerates labeling and QA, while the workflow, governance, and exports make it usable in real operations.