--- license: apache-2.0 metrics: - accuracy - f1 --- Returns a common mammal type given an image. See https://www.kaggle.com/code/dima806/mammals-45-types-image-classification-vit for more details. ``` Classification report: precision recall f1-score support african_elephant 1.0000 1.0000 1.0000 71 alpaca 0.9200 0.9718 0.9452 71 american_bison 1.0000 1.0000 1.0000 71 anteater 0.9853 0.9437 0.9640 71 arctic_fox 0.9286 0.9155 0.9220 71 armadillo 0.9726 1.0000 0.9861 71 baboon 0.9718 0.9718 0.9718 71 badger 1.0000 0.9718 0.9857 71 blue_whale 0.9710 0.9437 0.9571 71 brown_bear 0.9722 0.9859 0.9790 71 camel 0.9861 1.0000 0.9930 71 dolphin 0.8974 0.9859 0.9396 71 giraffe 0.9857 0.9718 0.9787 71 groundhog 0.9714 0.9577 0.9645 71 highland_cattle 0.9859 0.9859 0.9859 71 horse 1.0000 0.9859 0.9929 71 jackal 0.9577 0.9444 0.9510 72 kangaroo 0.8415 0.9583 0.8961 72 koala 0.9589 0.9859 0.9722 71 manatee 0.9861 0.9861 0.9861 72 mongoose 0.9483 0.7746 0.8527 71 mountain_goat 0.9855 0.9577 0.9714 71 opossum 1.0000 0.9577 0.9784 71 orangutan 1.0000 1.0000 1.0000 71 otter 1.0000 0.9577 0.9784 71 polar_bear 0.9706 0.9296 0.9496 71 porcupine 1.0000 0.9722 0.9859 72 red_panda 0.9718 0.9718 0.9718 71 rhinoceros 0.9859 0.9859 0.9859 71 sea_lion 0.7600 0.8028 0.7808 71 seal 0.8308 0.7500 0.7883 72 snow_leopard 1.0000 1.0000 1.0000 71 squirrel 0.9444 0.9577 0.9510 71 sugar_glider 0.8554 1.0000 0.9221 71 tapir 1.0000 1.0000 1.0000 71 vampire_bat 1.0000 0.9861 0.9930 72 vicuna 1.0000 0.8873 0.9403 71 walrus 0.9342 0.9861 0.9595 72 warthog 0.9571 0.9437 0.9504 71 water_buffalo 0.9333 0.9859 0.9589 71 weasel 0.9583 0.9583 0.9583 72 wildebeest 0.9577 0.9444 0.9510 72 wombat 0.8947 0.9577 0.9252 71 yak 1.0000 0.9437 0.9710 71 zebra 0.9595 1.0000 0.9793 71 accuracy 0.9572 3204 macro avg 0.9587 0.9573 0.9572 3204 weighted avg 0.9586 0.9572 0.9572 3204 ```