Automated Data Labeling for Computer Vision & NLP

Scale data labeling 100x with AI-assisted annotation: pre-label images, text, and audio; human-in-the-loop review; export to COCO, Pascal VOC, JSONL.

• Pre-labeling with foundation models (CLIP, YOLO)
• Active learning to prioritize ambiguous samples
• Collaborative annotation workspace
• Quality metrics & consensus scoring
• Export to all major ML data formats

• Label 10,000 images in hours, not weeks
• Reduce labeling cost by 90%
• Improve model accuracy with high-quality labels
• Iterate on training data faster