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@@ -10,6 +10,7 @@ datasets:
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  - blanchon/UC_Merced
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  metrics:
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  - accuracy
 
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  ---
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  # clip-fine-tuned-satellite
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@@ -28,6 +29,9 @@ The model is a fine-tuned version of CLIP.\
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  The model is to be used to classify satellite images.\
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  It was trained on the UC_Merced dataset that comprises 21 classes: agricultural, airplane, baseballdiamond, beach, buildings, chaparral, denseresidential, forest, freeway, golfcourse, harbor, intersection, mediumresidential, mobilehomepark, overpass, parkinglot, river, runway, sparseresidential, storagetanks, tenniscourt
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  ## Training and evaluation data
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  30% of the parameters trained.\
 
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  - blanchon/UC_Merced
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  metrics:
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  - accuracy
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+ library_name: transformers
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  ---
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  # clip-fine-tuned-satellite
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  The model is to be used to classify satellite images.\
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  It was trained on the UC_Merced dataset that comprises 21 classes: agricultural, airplane, baseballdiamond, beach, buildings, chaparral, denseresidential, forest, freeway, golfcourse, harbor, intersection, mediumresidential, mobilehomepark, overpass, parkinglot, river, runway, sparseresidential, storagetanks, tenniscourt
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+ To see how to use it, refer to the [CLIP documentation](https://huggingface.co/openai/clip-vit-base-patch32) or check the app using this model:\
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+ https://huggingface.co/spaces/NemesisAlm/clip-satellite-demo
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+
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  ## Training and evaluation data
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  30% of the parameters trained.\