--- license: apache-2.0 datasets: - TNILab/DomainNet_FL --- ```py Classification Report: precision recall f1-score support barn 0.7483 0.8370 0.7902 270 baseball_bat 0.9197 0.9333 0.9265 270 basket 0.8302 0.8148 0.8224 270 beach 0.7059 0.7556 0.7299 270 bear 0.7500 0.7444 0.7472 270 beard 0.5496 0.5741 0.5616 270 bee 0.9004 0.9037 0.9020 270 bird 0.7352 0.7815 0.7576 270 blueberry 0.7230 0.7926 0.7562 270 bowtie 0.8726 0.8370 0.8544 270 bracelet 0.7328 0.7111 0.7218 270 brain 0.8925 0.9222 0.9071 270 bread 0.5573 0.6667 0.6071 270 broccoli 0.9200 0.7667 0.8364 270 bus 0.8442 0.8630 0.8535 270 butterfly 0.9321 0.9148 0.9234 270 circle 0.6038 0.8185 0.6950 270 cloud 0.8201 0.8444 0.8321 270 cruise_ship 0.8545 0.8481 0.8513 270 dolphin 0.8286 0.8593 0.8436 270 dumbbell 0.8705 0.8963 0.8832 270 elephant 0.8598 0.8630 0.8614 270 eye 0.8603 0.8667 0.8635 270 eyeglasses 0.8425 0.7926 0.8168 270 feather 0.8413 0.7852 0.8123 270 fish 0.8169 0.8593 0.8375 270 flower 0.7973 0.8741 0.8339 270 foot 0.8152 0.8333 0.8242 270 frog 0.9270 0.8000 0.8588 270 giraffe 0.9026 0.8926 0.8976 270 goatee 0.5171 0.5037 0.5103 270 golf_club 0.6466 0.6778 0.6618 270 grapes 0.8731 0.8407 0.8566 270 grass 0.7359 0.6296 0.6786 270 guitar 0.8386 0.8852 0.8613 270 hamburger 0.8535 0.8630 0.8582 270 hand 0.7824 0.6926 0.7348 270 hat 0.7333 0.7741 0.7532 270 headphones 0.8971 0.9037 0.9004 270 helicopter 0.8992 0.8259 0.8610 270 hexagon 0.9113 0.8370 0.8726 270 hockey_stick 0.8419 0.8481 0.8450 270 horse 0.8081 0.8889 0.8466 270 hourglass 0.9161 0.9296 0.9228 270 house 0.7524 0.8778 0.8103 270 ice_cream 0.8821 0.8593 0.8705 270 jacket 0.8621 0.7407 0.7968 270 ladder 0.7051 0.8148 0.7560 270 leg 0.5916 0.5741 0.5827 270 lipstick 0.8889 0.8000 0.8421 270 megaphone 0.8710 0.9000 0.8852 270 monkey 0.8370 0.8556 0.8462 270 moon 0.8527 0.8148 0.8333 270 mushroom 0.8774 0.8481 0.8625 270 necklace 0.8670 0.7481 0.8032 270 owl 0.9179 0.9111 0.9145 270 panda 0.9490 0.8963 0.9219 270 pear 0.8832 0.8963 0.8897 270 peas 0.7743 0.8259 0.7993 270 penguin 0.8618 0.8778 0.8697 270 pig 0.6767 0.8296 0.7454 270 pillow 0.7359 0.6296 0.6786 270 pineapple 0.9213 0.9111 0.9162 270 pizza 0.9173 0.9444 0.9307 270 pool 0.6717 0.6593 0.6654 270 popsicle 0.7390 0.8074 0.7717 270 rabbit 0.8345 0.8778 0.8556 270 rhinoceros 0.9219 0.9185 0.9202 270 rifle 0.9256 0.8296 0.8750 270 river 0.6067 0.7370 0.6656 270 sailboat 0.8606 0.9148 0.8869 270 sandwich 0.7638 0.7667 0.7652 270 sea_turtle 0.8794 0.9185 0.8986 270 shark 0.8114 0.8444 0.8276 270 shoe 0.8097 0.8667 0.8372 270 skyscraper 0.7727 0.8185 0.7950 270 snorkel 0.8238 0.6926 0.7525 270 snowman 0.8736 0.8444 0.8588 270 soccer_ball 0.9395 0.8630 0.8996 270 speedboat 0.7649 0.7593 0.7621 270 spider 0.9212 0.8222 0.8689 270 spoon 0.8165 0.8074 0.8119 270 square 0.4669 0.6259 0.5348 270 squirrel 0.8394 0.7741 0.8054 270 stethoscope 0.8566 0.8630 0.8598 270 strawberry 0.8629 0.7926 0.8263 270 streetlight 0.5000 0.6852 0.5781 270 submarine 0.6850 0.6926 0.6888 270 suitcase 0.8259 0.7556 0.7892 270 sun 0.8082 0.6556 0.7239 270 sweater 0.5912 0.6963 0.6395 270 sword 0.8258 0.8074 0.8165 270 table 0.5502 0.5481 0.5492 270 teapot 0.9019 0.8852 0.8935 270 teddy-bear 0.7906 0.8111 0.8007 270 telephone 0.7836 0.7778 0.7807 270 tent 0.7579 0.7074 0.7318 270 The_Eiffel_Tower 0.8633 0.8889 0.8759 270 The_Great_Wall_of_China 0.8893 0.8333 0.8604 270 The_Mona_Lisa 0.8152 0.9148 0.8621 270 tiger 0.8577 0.8259 0.8415 270 toaster 0.6788 0.6889 0.6838 270 tooth 0.8807 0.7926 0.8343 270 tornado 0.7530 0.7000 0.7255 270 tractor 0.9372 0.8296 0.8802 270 train 0.7692 0.7407 0.7547 270 tree 0.7639 0.8148 0.7885 270 triangle 0.8852 0.8000 0.8405 270 trombone 0.6653 0.5963 0.6289 270 truck 0.7049 0.7963 0.7478 270 trumpet 0.7463 0.5667 0.6442 270 umbrella 0.9144 0.8704 0.8918 270 vase 0.8148 0.7333 0.7719 270 violin 0.8966 0.7704 0.8287 270 watermelon 0.7970 0.8000 0.7985 270 whale 0.7769 0.6963 0.7344 270 windmill 0.8963 0.8963 0.8963 270 wine_glass 0.8996 0.8630 0.8809 270 yoga 0.7406 0.8037 0.7709 270 zebra 0.9144 0.7519 0.8252 270 zigzag 0.6502 0.6333 0.6417 270 accuracy 0.7995 32670 macro avg 0.8052 0.7995 0.8006 32670 weighted avg 0.8052 0.7995 0.8006 32670 ```