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@@ -14,22 +14,6 @@ datasets:
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  - enalis/LeafNet
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  library_name: transformers
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  ---
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- ---
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- license: mit
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- tags:
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- - vision-language
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- - image-encoder
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- - text-encoder
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- - multimodal
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- - contrastive-learning
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- - explainable-ai
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- - few-shot-learning
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- - agriculture
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- library_name: transformers
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- datasets:
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- - your-dataset-name
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- pipeline_tag: feature-extraction
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- ---
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  # 🌿 SCOLD: A Vision-Language Foundation Model for Leaf Disease Identification
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@@ -59,12 +43,6 @@ The final embeddings from image and text encoders are aligned using cosine simil
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  - Vision-language embedding for classification or retrieval tasks
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  - Few-shot learning in agricultural or medical datasets
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  - Multimodal interpretability or zero-shot transfer
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-
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- ### ❌ Limitations
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- - Not optimized for real-time inference
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- - Trained on LeafNet dataset
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- - May not generalize well to non-agricultural tasks without fine-tuning
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-
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  ---
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  ## 🧪 How to Use
 
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  - enalis/LeafNet
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  library_name: transformers
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # 🌿 SCOLD: A Vision-Language Foundation Model for Leaf Disease Identification
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  - Vision-language embedding for classification or retrieval tasks
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  - Few-shot learning in agricultural or medical datasets
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  - Multimodal interpretability or zero-shot transfer
 
 
 
 
 
 
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  ---
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  ## 🧪 How to Use