AnnotateAI is a human-guided, agentic data annotation platform designed for computer vision teams. It enables users to upload datasets, auto-create annotation jobs, track progress in real time, and intervene when precision matters, combining AI speed with human control.

The platform features AI-agent pre-annotation where intelligent agents take the first pass on labeling entirely in the browser. It includes a human feedback loop for seamlessly adjusting labels, tweaking boundaries, and correcting false positives. The system offers universal export capabilities supporting YOLO, COCO, VOC, or custom JSON formats instantly downloadable for any framework.

AnnotateAI operates with a hybrid pipeline combining human and AI agents. Changes are cached instantly in your browser via IndexedDB, and the platform provides client-side processing capabilities to ensure data privacy. The workflow is data agnostic, automatically processing images, video frames, or document layouts from ZIP files.

The platform slashes annotation time by 90% by using AI for tedious work while reserving human bandwidth for critical quality control. It's built to scale from experiments to production, providing high-quality, model-ready data faster with both AI efficiency and human oversight.

AnnotateAI targets computer vision teams and machine learning practitioners working with datasets for deep learning pipelines. The platform supports various export formats and maintains 100% data privacy through client-side processing capabilities.