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--- |
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license: apache-2.0 |
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datasets: |
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- prithivMLmods/Multilabel-GeoSceneNet-16K |
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library_name: transformers |
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--- |
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```py |
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Classification Report: |
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precision recall f1-score support |
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Buildings and Structures 0.8881 0.9498 0.9179 2190 |
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Desert 0.9649 0.9480 0.9564 2000 |
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Forest Area 0.9807 0.9855 0.9831 2271 |
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Hill or Mountain 0.8616 0.8993 0.8800 2512 |
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Ice Glacier 0.9114 0.8382 0.8732 2404 |
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Sea or Ocean 0.9328 0.9525 0.9426 2274 |
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Street View 0.9476 0.9106 0.9287 2382 |
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accuracy 0.9245 16033 |
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macro avg 0.9267 0.9263 0.9260 16033 |
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weighted avg 0.9253 0.9245 0.9244 16033 |
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``` |
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