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dima806
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14_flower_types_image_detection

Image Classification
Transformers
PyTorch
Safetensors
vit
Inference Endpoints
Model card Files Community
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@@ -13,22 +13,22 @@ Classification report:
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  precision recall f1-score support
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- rose 0.9901 0.9524 0.9709 210
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- astilbe 0.9953 1.0000 0.9976 210
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- carnation 0.9670 0.9809 0.9739 209
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- tulip 0.9813 1.0000 0.9906 210
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- water_lily 1.0000 1.0000 1.0000 210
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- bellflower 0.9857 0.9904 0.9881 209
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- coreopsis 0.9904 0.9857 0.9881 210
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- common_daisy 0.9808 0.9714 0.9761 210
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- iris 0.9952 1.0000 0.9976 209
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- dandelion 0.9859 1.0000 0.9929 210
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- sunflower 1.0000 0.9952 0.9976 210
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- california_poppy 0.9858 0.9952 0.9905 210
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- black_eyed_susan 0.9952 1.0000 0.9976 209
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- calendula 0.9854 0.9665 0.9758 209
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- accuracy 0.9884 2935
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- macro avg 0.9884 0.9884 0.9884 2935
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- weighted avg 0.9884 0.9884 0.9884 2935
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  ```
 
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  precision recall f1-score support
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+ rose 0.9951 0.9737 0.9843 419
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+ astilbe 0.9952 0.9905 0.9928 419
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+ carnation 0.9627 0.9857 0.9741 419
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+ tulip 0.9929 1.0000 0.9964 420
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+ water_lily 1.0000 0.9905 0.9952 419
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+ bellflower 0.9811 0.9905 0.9857 419
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+ coreopsis 0.9881 0.9881 0.9881 419
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+ common_daisy 0.9858 0.9928 0.9893 419
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+ iris 0.9953 1.0000 0.9976 420
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+ dandelion 0.9905 1.0000 0.9952 419
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+ sunflower 0.9976 0.9976 0.9976 419
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+ california_poppy 0.9951 0.9761 0.9855 419
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+ black_eyed_susan 0.9882 1.0000 0.9941 419
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+ calendula 0.9854 0.9667 0.9760 420
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+ accuracy 0.9894 5869
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+ macro avg 0.9895 0.9894 0.9894 5869
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+ weighted avg 0.9895 0.9894 0.9894 5869
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  ```