Large-Scale Labeling Services
Human-validated labeling for websites, images, and content at scale. Custom taxonomy development and rigorous quality assurance for machine learning training data.
Human Intelligence at Scale
While automated collection can gather vast amounts of data, accurate labeling often requires human judgment. Our large-scale labeling services combine trained human annotators with quality assurance processes to deliver labeled datasets that meet the accuracy requirements of production ML systems.
Labeling Capabilities
We provide website category classification across custom or standard taxonomies. Image annotation including bounding boxes, segmentation, and classification. Content tagging for topic, sentiment, and entity extraction. Technology identification validation for CMS, frameworks, and tools. Company attribute labeling for firmographic data. Custom labeling tasks following your specifications.
Quality Assurance
Labeling quality directly impacts model performance. Our QA processes include multiple annotator agreement verification. Random sampling and accuracy measurement. Iterative taxonomy refinement based on edge cases. Detailed documentation and labeling guidelines. Accuracy guarantees aligned with your requirements.
Scale and Throughput
We handle labeling projects from thousands to millions of items. Trained annotator teams scale based on project requirements. Combined with training datasets collection for complete data pipelines. Ongoing labeling for continuously updated models.