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blip3-ocr-200m

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xurantju commited on Feb 3

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@@ -336,6 +336,9 @@ This structured approach allows for fine-tuned analysis of VLMs' capabilities in
 ## License
 We release BLIP3-OCR-200M under an Apache2.0 license, designating it primarily as a research artifact. . This dataset is being released for research purposes only. This repository includes the extracted original text in the underlying images. It is the responsibility of the user to check and/or obtain the proper copyrights to use any of the images of the original dataset.
 ## Citation

 ## License
 We release BLIP3-OCR-200M under an Apache2.0 license, designating it primarily as a research artifact. . This dataset is being released for research purposes only. This repository includes the extracted original text in the underlying images. It is the responsibility of the user to check and/or obtain the proper copyrights to use any of the images of the original dataset.
+## Ethical Considerations
+This release is for research purposes only in support of an academic paper. Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model. We encourage users to consider the common limitations of AI, comply with applicable laws, and leverage best practices when selecting use cases, particularly for high-risk scenarios where errors or misuse could significantly impact people’s lives, rights, or safety. For further guidance on use cases, refer to our AUP and AI AUP.
 ## Citation