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README.md
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@@ -49,6 +49,7 @@ This model was fine-tuned with a curated mix of datasets focused on **caption ri
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* [prithivMLmods/Caption3o-Opt-v2](https://huggingface.co/datasets/prithivMLmods/Caption3o-Opt-v2)
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* [Multimodal-Fatima/Caltech101\_not\_background\_test\_facebook\_opt\_2.7b\_Attributes\_Caption\_ns\_5647](https://huggingface.co/datasets/Multimodal-Fatima/Caltech101_not_background_test_facebook_opt_2.7b_Attributes_Caption_ns_5647)
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* Private/unlisted datasets for domain-specific image captioning tasks.
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The training objective emphasized **Vision Language Attribution**: defining image properties, attributes, and objects with clarity, while preserving descriptive fluency.
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* [prithivMLmods/Caption3o-Opt-v2](https://huggingface.co/datasets/prithivMLmods/Caption3o-Opt-v2)
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* [Multimodal-Fatima/Caltech101\_not\_background\_test\_facebook\_opt\_2.7b\_Attributes\_Caption\_ns\_5647](https://huggingface.co/datasets/Multimodal-Fatima/Caltech101_not_background_test_facebook_opt_2.7b_Attributes_Caption_ns_5647)
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* Private/unlisted datasets for domain-specific image captioning tasks.
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The training objective emphasized **Vision Language Attribution**: defining image properties, attributes, and objects with clarity, while preserving descriptive fluency.
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