nielsr HF Staff commited on
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Add project page and link to paper

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This PR adds the project page URL to the model card and links the paper at the top of the content section.

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  1. README.md +6 -3
README.md CHANGED
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  ---
 
 
 
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  license: mit
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  pipeline_tag: image-classification
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  tags:
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  - deepfake_detection
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  - community
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  - opensight
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- base_model:
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- - timm/vit_small_patch16_384.augreg_in21k_ft_in1k
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- library_name: transformers
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  ---
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  # Trained on 2.7M samples across 4,803 generators (see Training Data)
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  **Uploaded for community validation as part of OpenSight** - An upcoming open-source framework for adaptive deepfake detection.
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  **Project OpenSight HF Spaces coming soon with an eval playground and eventually a leaderboard. Preview:**
@@ -39,6 +41,7 @@ Vision Transformer (ViT) model trained on the largest dataset to-date for detect
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  ### Links
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  - **Repository:** [JeongsooP/Community-Forensics](https://github.com/JeongsooP/Community-Forensics)
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  - **Paper:** [arXiv:2411.04125](https://arxiv.org/pdf/2411.04125)
 
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  ## Training Details
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  ### Training Data
 
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  ---
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+ base_model:
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+ - timm/vit_small_patch16_384.augreg_in21k_ft_in1k
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+ library_name: transformers
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  license: mit
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  pipeline_tag: image-classification
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  tags:
 
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  - deepfake_detection
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  - community
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  - opensight
 
 
 
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  ---
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  # Trained on 2.7M samples across 4,803 generators (see Training Data)
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+ Model presented in [Community Forensics: Using Thousands of Generators to Train Fake Image Detectors](https://huggingface.co/papers/2411.04125).
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+
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  **Uploaded for community validation as part of OpenSight** - An upcoming open-source framework for adaptive deepfake detection.
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  **Project OpenSight HF Spaces coming soon with an eval playground and eventually a leaderboard. Preview:**
 
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  ### Links
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  - **Repository:** [JeongsooP/Community-Forensics](https://github.com/JeongsooP/Community-Forensics)
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  - **Paper:** [arXiv:2411.04125](https://arxiv.org/pdf/2411.04125)
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+ - **Project Page:** https://jespark.net/projects/2024/community_forensics
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  ## Training Details
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  ### Training Data