iTAG is an intelligent data annotation platform. It supports data annotation for traditional machine learning, including images, text, videos, and audio. The platform also supports data annotation for multi-modal Large Language Models (LLMs), such as text Q&A pairs, Visual Question Answering (VQA) dialogues, and image-to-text descriptions. iTAG supports both manual annotation and automated annotation assisted by intelligent services.
The billing details for iTAG are as follows:
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iTAG is free to use for manual annotation.
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If you need outsourced manual annotation services, submit a ticket to the PAI team to request paid annotation services.
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The default intelligent annotation services for some LLM data annotation templates, such as image-to-text descriptions, are currently free. Any future charges will be announced separately.