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dima806
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flower_groups_image_detection

Image Classification
Transformers
PyTorch
Safetensors
vit
Inference Endpoints
Model card Files Community
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@@ -4,4 +4,151 @@ metrics:
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  - accuracy
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  - f1
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  ---
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- See https://www.kaggle.com/code/dima806/flower-groups-image-detection-vit for more details.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - accuracy
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  - f1
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  ---
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+ Returnz flower group given an image.
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+
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+ See https://www.kaggle.com/code/dima806/flower-groups-image-detection-vit for more details.
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+
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+ ```
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+ Classification report:
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+
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+ precision recall f1-score support
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+
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+ tarragon 0.0000 0.0000 0.0000 247
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+ blanketflowers 0.9913 0.9228 0.9558 246
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+ coralbells 0.8745 0.9595 0.9151 247
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+ tulips 0.9865 0.8866 0.9339 247
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+ daffodils 0.8215 0.9879 0.8971 247
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+ peas 0.9289 0.9514 0.9400 247
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+ garlic 0.0000 0.0000 0.0000 246
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+ sunroots 1.0000 0.0162 0.0319 247
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+ milkweed 0.8598 0.9190 0.8885 247
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+ celery 0.0000 0.0000 0.0000 246
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+ dill 0.5533 0.9879 0.7093 247
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+ phlox 0.9231 0.9717 0.9467 247
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+ peonies 0.5095 0.9798 0.6704 247
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+ coneflowers 0.9673 0.9595 0.9634 247
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+ beets 0.6495 0.8178 0.7240 247
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+ beans 0.8438 0.9838 0.9084 247
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+ onions 0.2927 0.8947 0.4411 247
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+ bellflowers 0.9786 0.9271 0.9522 247
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+ delphiniums 0.9649 0.8907 0.9263 247
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+ oleanders 0.9758 0.9798 0.9778 247
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+ roseofsharon 1.0000 0.3644 0.5341 247
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+ cantaloupes 0.9419 0.5911 0.7264 247
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+ deadnettles 0.9648 0.8866 0.9241 247
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+ viburnums 0.5350 0.8664 0.6615 247
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+ dianthus 0.8375 0.9595 0.8943 247
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+ peaches 0.8988 0.6113 0.7277 247
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+ aloes 0.7333 0.9798 0.8388 247
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+ parsley 0.3333 0.9717 0.4964 247
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+ penstemon 0.9780 0.9024 0.9387 246
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+ thyme 0.6253 0.9634 0.7584 246
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+ citrus 0.8889 0.8745 0.8816 247
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+ bleeding-hearts 0.9675 0.9636 0.9655 247
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+ dogwoods 0.5487 0.9352 0.6916 247
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+ black-eyed-susans 0.5345 0.9717 0.6897 247
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+ petunias 0.9750 0.9512 0.9630 246
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+ jujubes 0.0000 0.0000 0.0000 247
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+ arborvitaes 0.9068 0.8699 0.8880 246
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+ lilies 0.9655 0.9069 0.9353 247
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+ crinums 0.7683 0.8089 0.7881 246
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+ catmints 0.6257 0.9106 0.7417 246
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+ astilbe 0.9524 0.9717 0.9619 247
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+ beautyberries 0.7559 0.9028 0.8229 247
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+ beebalms 0.8110 0.9555 0.8773 247
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+ foxgloves 0.9740 0.9109 0.9414 247
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+ gladiolus 0.8716 0.9069 0.8889 247
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+ plums 1.0000 0.3846 0.5556 247
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+ vitis 1.0000 0.5668 0.7235 247
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+ ninebarks 1.0000 0.0283 0.0551 247
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+ lettuces 0.8235 0.9069 0.8632 247
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+ poppies 0.9560 0.9676 0.9618 247
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+ smoketrees 0.9426 0.9312 0.9369 247
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+ irises 1.0000 0.9919 0.9959 246
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+ cilantro 1.0000 0.0769 0.1429 247
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+ artichokes 1.0000 0.8016 0.8899 247
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+ lambsears 0.5173 0.7854 0.6238 247
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+ butterworts 1.0000 0.2146 0.3533 247
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+ babysbreath 1.0000 0.0729 0.1358 247
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+ cucurbits 0.5530 0.9919 0.7101 247
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+ plumerias 0.7847 0.8704 0.8253 247
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+ liatris 0.9859 0.8502 0.9130 247
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+ carrots 0.6517 0.4715 0.5472 246
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+ crepe-myrtles 0.9711 0.9514 0.9611 247
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+ oregano 0.5111 0.1862 0.2730 247
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+ ilex 0.4969 0.9717 0.6575 247
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+ butterflybushes 0.9860 0.8543 0.9154 247
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+ sage 0.5760 0.2915 0.3871 247
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+ baptisia 0.9755 0.8057 0.8825 247
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+ sempervivum 0.9828 0.9309 0.9562 246
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+ asparagus 0.8690 0.2955 0.4411 247
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+ radishes 0.4707 0.7490 0.5781 247
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+ parsnips 1.0000 0.0610 0.1149 246
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+ hibiscus 0.4311 0.9757 0.5980 247
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+ rhododendrons 0.8769 0.9553 0.9144 246
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+ potatoes 1.0000 0.4453 0.6162 247
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+ hydrangeas 0.9180 0.9514 0.9344 247
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+ swisschard 0.7386 0.9838 0.8438 247
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+ cannas 0.9512 0.9474 0.9493 247
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+ brassicas 0.7537 0.8333 0.7915 246
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+ rubus 0.8631 0.8421 0.8525 247
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+ columbines 0.9833 0.9555 0.9692 247
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+ echeverias 0.6580 0.9190 0.7669 247
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+ okra 0.9360 0.7724 0.8463 246
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+ aeoniums 0.5289 0.9636 0.6829 247
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+ yarrows 0.6393 0.9757 0.7724 247
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+ roses 0.9920 1.0000 0.9960 247
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+ basil 0.5903 0.9393 0.7250 247
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+ spiraeas 0.5498 0.9393 0.6936 247
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+ caladiums 0.7879 0.9474 0.8603 247
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+ spinach 0.8679 0.1870 0.3077 246
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+ wisterias 0.9500 0.8496 0.8970 246
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+ cherries 1.0000 0.1660 0.2847 247
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+ marjoram 1.0000 0.3158 0.4800 247
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+ hyacinths 0.9595 0.9595 0.9595 247
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+ rhubarbs 0.9774 0.8745 0.9231 247
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+ tickseeds 0.8805 0.8947 0.8876 247
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+ perovskia 0.7917 0.4634 0.5846 246
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+ crocus 0.9753 0.9634 0.9693 246
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+ mints 0.6198 0.9636 0.7544 247
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+ heavenly-bamboos 0.9509 0.8623 0.9045 247
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+ agaves 0.8958 0.8704 0.8830 247
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+ pears 0.2874 0.3902 0.3310 246
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+ dudleyas 0.8344 0.5506 0.6634 247
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+ pachypodiums 0.8421 0.5830 0.6890 247
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+ mockoranges 0.9917 0.9676 0.9795 247
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+ asters 0.9873 0.9472 0.9668 246
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+ geraniums 0.9558 0.9636 0.9597 247
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+ mammillarias 0.9300 0.9676 0.9484 247
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+ cucumbers 1.0000 0.5992 0.7494 247
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+ veronicas 0.9705 0.9350 0.9524 246
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+ turnips 0.0000 0.0000 0.0000 247
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+ peppers 0.8066 0.9960 0.8913 247
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+ hardyhibiscuses 1.0000 0.4251 0.5966 247
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+ morning-glories 0.8333 0.9717 0.8972 247
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+ gardenias 0.9731 0.8785 0.9234 247
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+ ribes 0.9880 0.6680 0.7971 247
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+ loniceras 0.9496 0.9150 0.9320 247
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+ eggplants 0.9637 0.9676 0.9657 247
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+ hostas 0.7625 0.9919 0.8622 246
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+ chlorophytums 0.9667 0.5870 0.7305 247
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+ chives 0.6744 0.9474 0.7879 247
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+ tomatoes 0.6806 0.9231 0.7835 247
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+ lilacs 1.0000 0.9636 0.9814 247
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+ leeks 0.0000 0.0000 0.0000 246
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+ shastadaisies 0.9702 0.9231 0.9461 247
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+ apricots 1.0000 0.4737 0.6429 247
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+ apples 0.3617 0.9474 0.5235 247
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+ strawberries 0.9019 0.9676 0.9336 247
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+ salvias 0.4354 0.9555 0.5982 247
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+ sedums 0.8155 0.8947 0.8533 247
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+ corn 0.9251 0.8502 0.8861 247
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+ daylilies 1.0000 0.9919 0.9959 247
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+ figs 0.9631 0.9514 0.9572 247
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+ dahlias 0.9715 0.9715 0.9715 246
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+ sweetpotatoes 0.7500 0.9352 0.8324 247
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+
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+ accuracy 0.7665 33072
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+ macro avg 0.7995 0.7664 0.7380 33072
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+ weighted avg 0.7995 0.7665 0.7381 33072
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+ ```