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@@ -9,16 +9,17 @@ metrics:
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  - accuracy
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  pipeline_tag: image-to-text
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  # Demonstration of Cross-modal Retrieval (FLIP-based model)
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/663f06e01cd68975883a353e/TGxEwHBbWZIbW67kG9jMH.mp4"></video>
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  # FLIP (Facial Language Image Pretraining)
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- You need to first download the data from here and then apply for access to the original Laion-face dataset by completing the required agreement (github). Once approved, refer to the information available on HuggingFace to obtain the corresponding image-text pairs.
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- **[25/06/09] 🤗The Original Images, are Released [Completing the Agreement](https://github.com/ddw2AIGROUP2CQUPT/Large-Scale-Multimodal-Face-Datasets)**
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  This repository is the official implementation of [FaceCaption-15M]().
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  # Updates:
 
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  - accuracy
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  pipeline_tag: image-to-text
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  ---
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+ You need to first download the data from here and then apply for access to the original Laion-face dataset by completing the required agreement (github). Once approved, refer to the information available on HuggingFace to obtain the corresponding image-text pairs.
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+ **[25/06/09] 🤗The Original Images, are Released [Completing the Agreement](https://github.com/ddw2AIGROUP2CQUPT/Large-Scale-Multimodal-Face-Datasets)**
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  # Demonstration of Cross-modal Retrieval (FLIP-based model)
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/663f06e01cd68975883a353e/TGxEwHBbWZIbW67kG9jMH.mp4"></video>
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  # FLIP (Facial Language Image Pretraining)
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  This repository is the official implementation of [FaceCaption-15M]().
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  # Updates: