AnnotateAI

Prepare training datasets with AI labels and human review

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Meet AnnotateAI

AnnotateAI is a dataset-labeling workspace that combines automated pre-annotation with human review. Users upload raw material, let the system produce an initial set of labels, and then correct boundaries, adjust labels, or remove false positives. The workflow supports images, video frames, and document layouts.

Browser caching helps preserve work during editing, and export options include common training formats such as YOLO, COCO, VOC, and JSON. Different plans provide different upload sizes, storage periods, and processing allowances. AnnotateAI is designed for teams preparing machine-learning datasets who want to reduce repetitive labeling while retaining a review step for difficult examples and quality control.

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