AnnotateAI is a human-guided, agentic data annotation platform designed for computer vision teams. It provides a frictionless pipeline for labeling datasets by combining AI automation with human precision.

The platform features AI-agent pre-annotation that processes raw data entirely in your browser, a human feedback loop for adjusting labels and correcting false positives, and universal export capabilities supporting YOLO, COCO, VOC, and custom JSON formats. It ensures 100% data privacy through client-side processing via IndexedDB, offers a supercharged workflow that reduces annotation time by 90%, and handles various data types including images, video frames, and document layouts through a data agnostic pipeline.

The hybrid approach uses AI agents for initial heavy lifting while allowing human intervention for edge cases and quality control. Changes are cached instantly in the browser via IndexedDB.

Benefits include faster dataset creation with AI speed and human control, making it suitable for scaling from experiments to production. Use cases involve computer vision, machine learning datasets, and deep learning pipelines.

The target users are computer vision teams needing high-quality, model-ready data. The platform integrates with various frameworks through export options and operates entirely browser-based.