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@@ -872,11 +872,12 @@ Currently, some models in this project are trained based on YOLO. However, since
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# Links
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-
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+- [Easy Data Preparation with latest LLMs-based Operators and Pipelines](https://github.com/OpenDCAI/DataFlow)
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+- [Vis3 (OSS browser based on s3)](https://github.com/opendatalab/Vis3)
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- [LabelU (A Lightweight Multi-modal Data Annotation Tool)](https://github.com/opendatalab/labelU)
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- [LabelLLM (An Open-source LLM Dialogue Annotation Platform)](https://github.com/opendatalab/LabelLLM)
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- [PDF-Extract-Kit (A Comprehensive Toolkit for High-Quality PDF Content Extraction)](https://github.com/opendatalab/PDF-Extract-Kit)
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-- [Vis3 (OSS browser based on s3)](https://github.com/opendatalab/Vis3)
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+
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- [OmniDocBench (A Comprehensive Benchmark for Document Parsing and Evaluation)](https://github.com/opendatalab/OmniDocBench)
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- [Magic-HTML (Mixed web page extraction tool)](https://github.com/opendatalab/magic-html)
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-- [Magic-Doc (Fast speed ppt/pptx/doc/docx/pdf extraction tool)](https://github.com/InternLM/magic-doc)
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+- [Magic-Doc (Fast speed ppt/pptx/doc/docx/pdf extraction tool)](https://github.com/InternLM/magic-doc)
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Conghui He