Update README.md
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README.md
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@@ -4,4 +4,117 @@ metrics:
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- accuracy
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- f1
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---
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- accuracy
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- f1
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---
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+
Returns fruit type given an image.
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See https://www.kaggle.com/code/dima806/fruit-100-types-image-detection-vit for more details.
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```
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Classification report:
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precision recall f1-score support
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abiu 0.7788 0.9000 0.8351 180
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acai 0.8081 0.7722 0.7898 180
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acerola 0.8315 0.8500 0.8407 180
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ackee 0.9409 0.9722 0.9563 180
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ambarella 0.5287 0.7167 0.6085 180
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apple 0.8718 0.9444 0.9067 180
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apricot 0.7064 0.9222 0.8000 180
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avocado 0.9198 0.9556 0.9373 180
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banana 0.9834 0.9889 0.9861 180
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barbadine 0.9231 0.5333 0.6761 180
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barberry 0.8163 0.8889 0.8511 180
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betel_nut 0.9902 0.5611 0.7163 180
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bitter_gourd 1.0000 1.0000 1.0000 180
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black_berry 0.5237 0.9222 0.6680 180
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black_mullberry 0.9326 0.9222 0.9274 180
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brazil_nut 0.8877 0.9222 0.9046 180
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camu_camu 0.7887 0.9333 0.8550 180
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cashew 0.9889 0.9889 0.9889 180
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cempedak 1.0000 0.4556 0.6260 180
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chenet 0.6759 0.9500 0.7898 180
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cherimoya 0.5885 0.7389 0.6552 180
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chico 0.5602 0.5167 0.5376 180
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chokeberry 0.8706 0.8222 0.8457 180
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cluster_fig 0.9068 0.8111 0.8563 180
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coconut 0.9037 0.9389 0.9210 180
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corn_kernel 0.9781 0.9944 0.9862 180
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cranberry 0.9231 0.7333 0.8173 180
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cupuacu 0.9167 0.9167 0.9167 180
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custard_apple 0.5000 0.0056 0.0110 180
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damson 0.8680 0.9500 0.9072 180
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dewberry 0.8571 0.2000 0.3243 180
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dragonfruit 0.9672 0.9833 0.9752 180
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durian 0.9781 0.9944 0.9862 180
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eggplant 0.9834 0.9889 0.9861 180
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elderberry 0.9274 0.9222 0.9248 180
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emblic 0.8495 0.8778 0.8634 180
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feijoa 0.9061 0.9111 0.9086 180
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fig 0.8483 0.9944 0.9156 180
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finger_lime 0.9879 0.9056 0.9449 180
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gooseberry 0.8922 0.8278 0.8588 180
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goumi 0.7772 0.8722 0.8220 180
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grape 0.9560 0.9667 0.9613 180
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grapefruit 0.9103 0.7333 0.8123 180
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greengage 0.8103 0.7833 0.7966 180
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grenadilla 0.6267 0.7833 0.6963 180
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guava 0.8342 0.8944 0.8633 180
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hard_kiwi 0.8413 0.8833 0.8618 180
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hawthorn 0.8210 0.7389 0.7778 180
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hog_plum 0.7500 0.0500 0.0938 180
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horned_melon 0.9943 0.9611 0.9774 180
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indian_strawberry 0.5344 0.3889 0.4502 180
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jaboticaba 0.9071 0.9222 0.9146 180
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jackfruit 0.6224 0.9889 0.7639 180
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jalapeno 0.9574 1.0000 0.9783 180
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jamaica_cherry 0.8707 0.7111 0.7829 180
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jambul 0.7817 0.8556 0.8170 180
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jocote 0.7250 0.4833 0.5800 180
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jujube 0.8758 0.7444 0.8048 180
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kaffir_lime 0.9602 0.9389 0.9494 180
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kumquat 0.7071 0.9389 0.8067 180
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lablab 0.9722 0.9722 0.9722 180
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langsat 0.8307 0.8722 0.8509 180
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longan 0.8776 0.9556 0.9149 180
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mabolo 0.9384 0.7611 0.8405 180
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malay_apple 0.5882 0.4444 0.5063 180
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mandarine 0.7441 0.8722 0.8031 180
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mango 0.8387 0.8667 0.8525 180
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mangosteen 0.9600 0.9333 0.9465 180
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medlar 0.9505 0.9611 0.9558 180
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mock_strawberry 0.5315 0.6556 0.5871 180
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morinda 0.9724 0.9778 0.9751 180
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mountain_soursop 0.9403 0.7000 0.8025 180
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oil_palm 0.8832 0.9667 0.9231 180
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olive 0.9935 0.8500 0.9162 180
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otaheite_apple 0.5179 0.6444 0.5743 180
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papaya 0.7358 0.8667 0.7959 180
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passion_fruit 0.7857 0.7944 0.7901 180
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pawpaw 0.8267 0.6889 0.7515 180
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pea 0.9421 0.9944 0.9676 180
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pineapple 0.9836 1.0000 0.9917 180
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plumcot 0.8803 0.5722 0.6936 180
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pomegranate 0.9365 0.9833 0.9593 180
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prikly_pear 0.9725 0.9833 0.9779 180
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quince 0.9318 0.9111 0.9213 180
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rambutan 1.0000 1.0000 1.0000 180
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raspberry 0.8706 0.9722 0.9186 180
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redcurrant 0.7928 0.9778 0.8756 180
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rose_hip 0.8632 0.9111 0.8865 180
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rose_leaf_bramble 0.9157 0.8444 0.8786 180
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salak 0.8636 0.9500 0.9048 180
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santol 0.8639 0.9167 0.8895 180
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sapodilla 0.5938 0.6333 0.6129 180
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sea_buckthorn 0.9624 0.9944 0.9781 180
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strawberry_guava 0.8848 0.8111 0.8464 180
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sugar_apple 0.4915 0.9611 0.6504 180
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taxus_baccata 0.9833 0.9833 0.9833 180
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ugli_fruit 0.9086 0.8833 0.8958 180
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white_currant 0.9780 0.9889 0.9834 180
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yali_pear 0.9770 0.9444 0.9605 180
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yellow_plum 0.7563 0.8278 0.7905 180
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accuracy 0.8360 18000
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macro avg 0.8461 0.8360 0.8264 18000
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weighted avg 0.8461 0.8360 0.8264 18000
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```
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