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Exploring the Model Zoo#
This experience introduces you to the core components of the FiftyOne Zoo:
The Dataset Zoo for accessing and exploring public datasets
The Model Zoo for running pre-trained models on your data
Creating your own remotely-sourced datasets for reuse and collaboration
Whether you’re a researcher, engineer, or educator, these tools help streamline your computer vision workflows in FiftyOne.
💡 Make sure to run
pip install fiftyone torch torchvisionbefore starting.
[ ]:
#!pip install fiftyone
#!pip install torch torchvision
FiftyOne Zoo: A Hub for Datasets and Models#
FiftyOne Zoo provides easy access to a vast collection of pre-built datasets and pre-trained models. This notebook will guide you through exploring and using these resources.
Key Components:#
Dataset Zoo: Offers a wide range of computer vision datasets, ready for immediate use.
Model Zoo: Provides pre-trained models for various tasks, enabling quick experimentation and deployment.
Let’s dive in!
[1]:
import fiftyone as fo
import fiftyone.zoo as foz
Model Zoo#
Exploring the Model Zoo#
The Model Zoo provides pre-trained models that can be used for inference and evaluation.
Listing Available Models#
[ ]:
print("\nAvailable Models:")
for model_name in foz.list_zoo_models():
print(f"- {model_name}")
FiftyOne supports a wide range of models for classification, detection, and segmentation, please visit the Model Zoo for the full, up-to-date catalog.
Loading a Model (Example: AlexNet on ImageNet)#
[ ]:
model = foz.load_zoo_model("alexnet-imagenet-torch")
print(model)
Downloading model from 'https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth'...
100% |██████| 1.8Gb/1.8Gb [3.7s elapsed, 0s remaining, 527.5Mb/s]
Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /home/paula/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth
100.0%
<fiftyone.zoo.models.torch.TorchvisionImageModel object at 0x7798cad07340>
Applying a Model to a Dataset#
[ ]:
try:
dataset = foz.load_zoo_dataset("imagenet-sample")
predictions = dataset.apply_model(model, label_field="predictions")
print(predictions)
except:
print("imagenet-sample dataset is not available, please install it if needed.")
session = fo.launch_app(dataset, port=5152, auto=False)
Dataset already downloaded
Loading existing dataset 'imagenet-sample'. To reload from disk, either delete the existing dataset or provide a custom `dataset_name` to use
100% |███████████████| 1000/1000 [4.6s elapsed, 0s remaining, 277.2 samples/s]
None
Session launched. Run `session.show()` to open the App in a cell output.
Evaluating Model Performance#
[ ]:
!fiftyone plugins download https://github.com/voxel51/fiftyone-plugins --plugin-names @voxel51/evaluation
Downloading voxel51/fiftyone-plugins...
329.3Mb [12.2s elapsed, ? remaining, 32.9Mb/s]
Skipping existing plugin '@voxel51/evaluation'
[ ]:
eval_key = "class_eval"
# Now evaluate on the "defect2" field
eval_classif_padim = dataset.evaluate_classifications(
"predictions",
gt_field="ground_truth",
method="simple", #method is important to see data in the FO app
eval_key=eval_key, # <--- store this run under "classification_eval"
)
eval_classif_padim.print_report()
precision recall f1-score support
Afghan hound 1.00 1.00 1.00 1
African chameleon 0.33 1.00 0.50 1
African crocodile 1.00 1.00 1.00 1
African elephant 0.00 0.00 0.00 0
African grey 1.00 1.00 1.00 1
African hunting dog 1.00 1.00 1.00 1
Airedale 1.00 1.00 1.00 1
American Staffordshire terrier 0.00 0.00 0.00 1
American alligator 0.00 0.00 0.00 1
American black bear 0.00 0.00 0.00 1
American chameleon 0.00 0.00 0.00 1
American coot 0.00 0.00 0.00 1
American egret 0.00 0.00 0.00 1
American lobster 1.00 1.00 1.00 1
Angora 0.33 1.00 0.50 1
Appenzeller 0.00 0.00 0.00 1
Arabian camel 0.25 1.00 0.40 1
Arctic fox 0.50 1.00 0.67 1
Australian terrier 0.00 0.00 0.00 1
Band Aid 0.00 0.00 0.00 1
Bedlington terrier 1.00 1.00 1.00 1
Bernese mountain dog 0.00 0.00 0.00 1
Blenheim spaniel 1.00 1.00 1.00 1
Border collie 0.00 0.00 0.00 1
Border terrier 0.00 0.00 0.00 1
Boston bull 1.00 1.00 1.00 1
Bouvier des Flandres 0.00 0.00 0.00 1
Brabancon griffon 1.00 1.00 1.00 1
Brittany spaniel 1.00 1.00 1.00 1
CD player 0.00 0.00 0.00 0
Cardigan 0.00 0.00 0.00 2
Chesapeake Bay retriever 0.00 0.00 0.00 1
Chihuahua 0.00 0.00 0.00 1
Dandie Dinmont 0.00 0.00 0.00 1
Doberman 0.50 1.00 0.67 1
Dutch oven 0.00 0.00 0.00 1
Egyptian cat 0.00 0.00 0.00 0
English setter 0.00 0.00 0.00 1
English springer 0.00 0.00 0.00 1
EntleBucher 1.00 1.00 1.00 1
Eskimo dog 0.00 0.00 0.00 2
European fire salamander 1.00 1.00 1.00 1
European gallinule 0.00 0.00 0.00 1
French bulldog 1.00 1.00 1.00 1
French horn 1.00 1.00 1.00 1
German shepherd 1.00 1.00 1.00 1
German short-haired pointer 1.00 1.00 1.00 1
Gila monster 1.00 1.00 1.00 1
Gordon setter 0.00 0.00 0.00 1
Granny Smith 1.00 1.00 1.00 1
Great Dane 0.00 0.00 0.00 1
Great Pyrenees 1.00 0.33 0.50 3
Ibizan hound 0.00 0.00 0.00 1
Indian cobra 1.00 1.00 1.00 1
Indian elephant 0.00 0.00 0.00 0
Irish setter 1.00 1.00 1.00 1
Irish terrier 1.00 1.00 1.00 1
Irish water spaniel 0.50 1.00 0.67 1
Irish wolfhound 0.00 0.00 0.00 1
Italian greyhound 1.00 1.00 1.00 2
Japanese spaniel 1.00 1.00 1.00 1
Kerry blue terrier 0.50 1.00 0.67 1
Komodo dragon 0.50 1.00 0.67 1
Lakeland terrier 1.00 1.00 1.00 1
Leonberg 1.00 1.00 1.00 1
Lhasa 1.00 1.00 1.00 1
Loafer 1.00 1.00 1.00 1
Madagascar cat 0.50 1.00 0.67 1
Maltese dog 0.50 1.00 0.67 1
Mexican hairless 0.00 0.00 0.00 0
Model T 0.50 1.00 0.67 1
Newfoundland 1.00 1.00 1.00 1
Norfolk terrier 1.00 1.00 1.00 1
Norwegian elkhound 1.00 1.00 1.00 1
Norwich terrier 0.00 0.00 0.00 1
Old English sheepdog 0.00 0.00 0.00 1
Pekinese 1.00 1.00 1.00 1
Pembroke 0.00 0.00 0.00 0
Persian cat 1.00 1.00 1.00 1
Petri dish 0.50 1.00 0.67 1
Polaroid camera 0.50 0.50 0.50 2
Pomeranian 1.00 1.00 1.00 1
Rhodesian ridgeback 0.00 0.00 0.00 1
Rottweiler 0.00 0.00 0.00 2
Saint Bernard 1.00 1.00 1.00 1
Saluki 0.50 0.50 0.50 2
Samoyed 0.50 1.00 0.67 1
Scotch terrier 1.00 1.00 1.00 1
Scottish deerhound 0.50 1.00 0.67 1
Sealyham terrier 0.00 0.00 0.00 1
Shetland sheepdog 0.00 0.00 0.00 1
Shih-Tzu 0.50 0.50 0.50 2
Siamese cat 0.50 1.00 0.67 1
Siberian husky 0.33 1.00 0.50 1
Staffordshire bullterrier 1.00 1.00 1.00 1
Sussex spaniel 0.00 0.00 0.00 1
Tibetan terrier 0.00 0.00 0.00 1
Walker hound 0.00 0.00 0.00 2
Weimaraner 0.50 1.00 0.67 1
Welsh springer spaniel 0.50 1.00 0.67 1
West Highland white terrier 1.00 1.00 1.00 1
Yorkshire terrier 0.00 0.00 0.00 1
abaya 0.00 0.00 0.00 0
accordion 0.00 0.00 0.00 1
acorn 1.00 1.00 1.00 1
acorn squash 0.50 1.00 0.67 1
acoustic guitar 0.00 0.00 0.00 1
admiral 0.00 0.00 0.00 1
affenpinscher 1.00 1.00 1.00 1
agama 0.00 0.00 0.00 0
agaric 1.00 1.00 1.00 2
aircraft carrier 0.00 0.00 0.00 2
airliner 1.00 1.00 1.00 1
airship 0.00 0.00 0.00 2
albatross 0.00 0.00 0.00 1
alligator lizard 0.00 0.00 0.00 1
altar 0.00 0.00 0.00 1
ambulance 0.50 1.00 0.67 1
anemone fish 1.00 0.50 0.67 2
ant 0.00 0.00 0.00 1
apiary 0.50 1.00 0.67 1
apron 1.00 1.00 1.00 1
armadillo 1.00 1.00 1.00 1
artichoke 0.00 0.00 0.00 0
ashcan 0.00 0.00 0.00 1
axolotl 0.50 1.00 0.67 1
baboon 0.00 0.00 0.00 1
backpack 0.00 0.00 0.00 0
bakery 1.00 1.00 1.00 1
balance beam 0.00 0.00 0.00 1
bald eagle 0.33 0.50 0.40 2
balloon 1.00 1.00 1.00 1
ballplayer 0.00 0.00 0.00 1
ballpoint 0.50 1.00 0.67 1
banana 0.00 0.00 0.00 0
banded gecko 0.00 0.00 0.00 1
banjo 1.00 1.00 1.00 1
bannister 0.00 0.00 0.00 0
barbell 1.00 1.00 1.00 1
barber chair 0.50 1.00 0.67 1
barbershop 0.00 0.00 0.00 1
barn 0.50 1.00 0.67 1
barn spider 1.00 1.00 1.00 1
barometer 1.00 1.00 1.00 1
barracouta 1.00 1.00 1.00 1
barrel 1.00 1.00 1.00 1
barrow 0.00 0.00 0.00 1
baseball 1.00 1.00 1.00 1
basenji 0.00 0.00 0.00 1
basketball 1.00 1.00 1.00 1
basset 0.00 0.00 0.00 2
bassinet 0.00 0.00 0.00 1
bassoon 0.00 0.00 0.00 1
bath towel 0.00 0.00 0.00 0
bathing cap 0.00 0.00 0.00 1
bathtub 0.00 0.00 0.00 2
beach wagon 0.50 0.50 0.50 2
beacon 0.00 0.00 0.00 1
beagle 0.67 0.67 0.67 3
beaker 0.00 0.00 0.00 1
bearskin 1.00 1.00 1.00 1
beaver 0.50 1.00 0.67 1
bee 1.00 0.50 0.67 2
bee eater 0.00 0.00 0.00 0
beer bottle 1.00 1.00 1.00 1
beer glass 1.00 1.00 1.00 1
bell cote 0.00 0.00 0.00 1
bell pepper 1.00 1.00 1.00 1
bib 0.00 0.00 0.00 1
bicycle-built-for-two 1.00 0.50 0.67 2
bighorn 1.00 1.00 1.00 1
bikini 1.00 1.00 1.00 1
binder 0.50 1.00 0.67 1
binoculars 0.00 0.00 0.00 1
birdhouse 1.00 1.00 1.00 1
bison 0.50 1.00 0.67 1
bittern 0.00 0.00 0.00 1
black and gold garden spider 1.00 1.00 1.00 1
black grouse 1.00 1.00 1.00 1
black stork 0.00 0.00 0.00 1
black swan 0.50 1.00 0.67 1
black widow 1.00 1.00 1.00 1
black-footed ferret 1.00 1.00 1.00 1
bluetick 0.33 1.00 0.50 1
boa constrictor 0.00 0.00 0.00 1
boathouse 0.25 1.00 0.40 1
bobsled 0.00 0.00 0.00 2
bolete 1.00 1.00 1.00 1
bolo tie 0.00 0.00 0.00 1
bonnet 0.00 0.00 0.00 2
book jacket 0.00 0.00 0.00 1
bookcase 1.00 1.00 1.00 1
bookshop 0.00 0.00 0.00 1
borzoi 0.00 0.00 0.00 1
bottlecap 1.00 1.00 1.00 1
bow 1.00 1.00 1.00 1
bow tie 0.00 0.00 0.00 0
boxer 0.50 1.00 0.67 1
brain coral 1.00 1.00 1.00 1
brambling 0.00 0.00 0.00 1
brass 0.33 1.00 0.50 1
brassiere 0.00 0.00 0.00 0
breakwater 0.00 0.00 0.00 2
breastplate 0.00 0.00 0.00 2
briard 0.50 0.50 0.50 2
broccoli 1.00 1.00 1.00 1
broom 0.50 1.00 0.67 2
brown bear 1.00 1.00 1.00 1
bubble 1.00 1.00 1.00 1
bucket 0.00 0.00 0.00 0
buckeye 1.00 1.00 1.00 1
buckle 0.50 1.00 0.67 1
bulbul 0.00 0.00 0.00 1
bull mastiff 0.50 1.00 0.67 1
bullet train 0.50 0.50 0.50 2
bulletproof vest 0.50 1.00 0.67 1
bullfrog 0.00 0.00 0.00 1
burrito 0.50 1.00 0.67 1
bustard 0.00 0.00 0.00 1
butcher shop 1.00 1.00 1.00 1
butternut squash 0.00 0.00 0.00 1
cab 0.00 0.00 0.00 2
cabbage butterfly 0.50 1.00 0.67 1
cairn 0.50 1.00 0.67 1
caldron 0.00 0.00 0.00 1
can opener 1.00 1.00 1.00 1
candle 0.00 0.00 0.00 0
cannon 0.00 0.00 0.00 0
canoe 1.00 1.00 1.00 1
capuchin 0.00 0.00 0.00 1
car mirror 1.00 1.00 1.00 1
car wheel 0.00 0.00 0.00 1
carbonara 0.00 0.00 0.00 1
cardigan 1.00 0.50 0.67 2
cardoon 1.00 0.50 0.67 2
carousel 0.00 0.00 0.00 1
carpenter's kit 0.00 0.00 0.00 1
carton 0.00 0.00 0.00 0
cash machine 0.50 1.00 0.67 1
cassette 1.00 1.00 1.00 1
cassette player 0.00 0.00 0.00 1
castle 1.00 1.00 1.00 1
catamaran 1.00 1.00 1.00 1
cauliflower 1.00 1.00 1.00 1
cello 1.00 1.00 1.00 1
cellular telephone 0.50 0.50 0.50 2
chain 1.00 1.00 1.00 1
chain mail 0.50 1.00 0.67 1
chain saw 0.00 0.00 0.00 1
chainlink fence 1.00 0.50 0.67 2
chambered nautilus 1.00 0.50 0.67 2
cheeseburger 1.00 1.00 1.00 1
cheetah 1.00 1.00 1.00 2
chest 0.00 0.00 0.00 0
chickadee 0.00 0.00 0.00 1
chiffonier 0.00 0.00 0.00 1
chime 0.00 0.00 0.00 2
chimpanzee 1.00 1.00 1.00 1
china cabinet 1.00 0.50 0.67 2
chiton 0.50 1.00 0.67 1
chow 1.00 1.00 1.00 1
church 0.50 1.00 0.67 1
cicada 1.00 1.00 1.00 1
cinema 1.00 1.00 1.00 1
cleaver 0.00 0.00 0.00 1
cliff dwelling 1.00 1.00 1.00 1
cloak 0.00 0.00 0.00 0
clog 0.00 0.00 0.00 0
clumber 1.00 1.00 1.00 1
cocker spaniel 0.00 0.00 0.00 1
cockroach 0.50 1.00 0.67 1
coffeepot 0.00 0.00 0.00 1
coho 0.50 1.00 0.67 1
coil 0.00 0.00 0.00 0
collie 0.00 0.00 0.00 1
comic book 0.00 0.00 0.00 0
common iguana 1.00 1.00 1.00 1
common newt 0.00 0.00 0.00 1
computer keyboard 0.00 0.00 0.00 1
conch 0.50 1.00 0.67 1
confectionery 1.00 1.00 1.00 1
consomme 0.00 0.00 0.00 1
container ship 1.00 1.00 1.00 1
convertible 0.00 0.00 0.00 1
coral fungus 1.00 1.00 1.00 1
coral reef 1.00 0.50 0.67 2
corkscrew 1.00 1.00 1.00 1
corn 0.00 0.00 0.00 1
cornet 0.50 1.00 0.67 1
coucal 1.00 1.00 1.00 1
cougar 1.00 1.00 1.00 1
cowboy boot 0.00 0.00 0.00 0
cowboy hat 0.00 0.00 0.00 1
coyote 0.00 0.00 0.00 0
cradle 1.00 1.00 1.00 1
crane 0.67 0.67 0.67 3
crash helmet 0.00 0.00 0.00 2
crate 0.00 0.00 0.00 2
crayfish 0.00 0.00 0.00 1
crib 1.00 1.00 1.00 1
cricket 0.00 0.00 0.00 1
croquet ball 0.00 0.00 0.00 1
crossword puzzle 1.00 1.00 1.00 1
crutch 0.00 0.00 0.00 0
cucumber 0.00 0.00 0.00 1
cuirass 0.00 0.00 0.00 0
cup 0.00 0.00 0.00 1
curly-coated retriever 0.00 0.00 0.00 1
custard apple 1.00 1.00 1.00 1
daisy 0.00 0.00 0.00 1
dalmatian 1.00 1.00 1.00 1
dam 0.00 0.00 0.00 1
damselfly 1.00 1.00 1.00 1
desk 1.00 0.67 0.80 3
desktop computer 0.00 0.00 0.00 1
dhole 0.00 0.00 0.00 1
dial telephone 1.00 1.00 1.00 1
diamondback 0.00 0.00 0.00 1
diaper 0.33 1.00 0.50 1
digital clock 0.00 0.00 0.00 1
digital watch 1.00 0.50 0.67 2
dining table 1.00 1.00 1.00 1
dishrag 0.50 1.00 0.67 1
dishwasher 0.67 1.00 0.80 2
disk brake 1.00 1.00 1.00 1
dock 0.00 0.00 0.00 0
dogsled 1.00 1.00 1.00 1
dome 0.00 0.00 0.00 2
dough 1.00 1.00 1.00 1
dowitcher 0.33 1.00 0.50 1
dragonfly 0.00 0.00 0.00 1
drake 1.00 1.00 1.00 1
drilling platform 0.00 0.00 0.00 0
drum 0.00 0.00 0.00 1
drumstick 0.00 0.00 0.00 1
dumbbell 1.00 0.50 0.67 2
dung beetle 1.00 1.00 1.00 1
ear 1.00 1.00 1.00 1
earthstar 1.00 1.00 1.00 1
echidna 0.50 1.00 0.67 1
eel 0.50 1.00 0.67 1
eft 0.50 1.00 0.67 1
eggnog 0.00 0.00 0.00 1
electric fan 0.00 0.00 0.00 1
electric guitar 1.00 1.00 1.00 1
electric locomotive 1.00 1.00 1.00 1
electric ray 0.50 1.00 0.67 1
entertainment center 1.00 0.50 0.67 2
envelope 0.00 0.00 0.00 0
espresso 1.00 1.00 1.00 1
face powder 0.00 0.00 0.00 1
feather boa 1.00 1.00 1.00 1
fiddler crab 0.00 0.00 0.00 2
fig 1.00 0.50 0.67 2
file 1.00 0.50 0.67 2
fire engine 1.00 1.00 1.00 1
fire screen 0.00 0.00 0.00 1
fireboat 1.00 1.00 1.00 1
flagpole 0.00 0.00 0.00 0
flamingo 1.00 1.00 1.00 1
flat-coated retriever 0.33 1.00 0.50 1
flatworm 1.00 1.00 1.00 1
flute 0.00 0.00 0.00 1
football helmet 0.00 0.00 0.00 1
forklift 0.00 0.00 0.00 1
fountain 0.50 0.50 0.50 2
fountain pen 1.00 1.00 1.00 1
four-poster 0.50 1.00 0.67 1
fox squirrel 0.00 0.00 0.00 0
freight car 1.00 1.00 1.00 1
frilled lizard 0.00 0.00 0.00 1
frying pan 0.00 0.00 0.00 1
fur coat 1.00 1.00 1.00 1
garbage truck 1.00 1.00 1.00 1
garden spider 0.00 0.00 0.00 0
garter snake 0.33 0.50 0.40 2
gas pump 1.00 1.00 1.00 1
gasmask 0.00 0.00 0.00 1
gazelle 0.00 0.00 0.00 1
geyser 1.00 1.00 1.00 1
giant panda 1.00 0.50 0.67 2
giant schnauzer 1.00 1.00 1.00 1
gibbon 1.00 0.50 0.67 2
go-kart 0.00 0.00 0.00 1
goblet 1.00 0.50 0.67 2
goldfinch 1.00 1.00 1.00 1
goldfish 0.00 0.00 0.00 1
golfcart 0.00 0.00 0.00 1
gondola 0.50 1.00 0.67 1
gong 0.00 0.00 0.00 0
goose 1.00 1.00 1.00 1
gorilla 0.00 0.00 0.00 1
gown 0.00 0.00 0.00 0
grand piano 0.33 1.00 0.50 1
grasshopper 0.33 1.00 0.50 1
great grey owl 1.00 1.00 1.00 1
great white shark 1.00 1.00 1.00 1
green lizard 0.00 0.00 0.00 1
green mamba 0.00 0.00 0.00 2
green snake 0.00 0.00 0.00 0
greenhouse 0.00 0.00 0.00 0
grey whale 1.00 1.00 1.00 2
grocery store 1.00 0.50 0.67 2
groenendael 0.00 0.00 0.00 1
groom 1.00 0.50 0.67 2
ground beetle 0.00 0.00 0.00 1
guacamole 0.00 0.00 0.00 1
guillotine 1.00 0.50 0.67 2
guinea pig 0.50 1.00 0.67 1
gyromitra 1.00 0.50 0.67 2
hair slide 0.00 0.00 0.00 2
half track 0.00 0.00 0.00 1
hammerhead 1.00 1.00 1.00 1
hamster 0.00 0.00 0.00 2
hand blower 0.50 1.00 0.67 1
handkerchief 0.50 1.00 0.67 1
hard disc 0.00 0.00 0.00 1
hare 1.00 1.00 1.00 2
harmonica 0.00 0.00 0.00 1
harp 0.00 0.00 0.00 1
hartebeest 0.00 0.00 0.00 0
harvester 1.00 1.00 1.00 2
harvestman 0.50 0.50 0.50 2
hatchet 0.00 0.00 0.00 0
head cabbage 0.50 1.00 0.67 1
hen 1.00 1.00 1.00 2
hen-of-the-woods 0.00 0.00 0.00 0
hermit crab 1.00 1.00 1.00 1
hip 0.50 1.00 0.67 1
hippopotamus 1.00 1.00 1.00 1
hognose snake 0.50 1.00 0.67 1
holster 0.33 1.00 0.50 1
home theater 0.50 1.00 0.67 1
honeycomb 0.00 0.00 0.00 0
hook 0.00 0.00 0.00 2
hoopskirt 1.00 1.00 1.00 1
horizontal bar 0.67 1.00 0.80 2
horned viper 0.00 0.00 0.00 1
horse cart 1.00 1.00 1.00 1
hot pot 1.00 0.75 0.86 4
hotdog 0.00 0.00 0.00 2
hourglass 0.00 0.00 0.00 1
house finch 1.00 1.00 1.00 1
howler monkey 0.50 0.50 0.50 2
hummingbird 0.50 1.00 0.67 1
hyena 0.00 0.00 0.00 1
iPod 0.50 1.00 0.67 1
ibex 0.00 0.00 0.00 1
ice bear 0.00 0.00 0.00 1
ice cream 0.00 0.00 0.00 1
ice lolly 0.00 0.00 0.00 1
impala 1.00 1.00 1.00 1
indigo bunting 0.00 0.00 0.00 1
indri 1.00 1.00 1.00 1
iron 0.00 0.00 0.00 0
isopod 0.00 0.00 0.00 1
jacamar 1.00 1.00 1.00 2
jack-o'-lantern 1.00 1.00 1.00 1
jackfruit 1.00 1.00 1.00 1
jaguar 1.00 1.00 1.00 1
jay 0.00 0.00 0.00 1
jean 1.00 1.00 1.00 1
jeep 1.00 1.00 1.00 1
jellyfish 1.00 1.00 1.00 1
jersey 1.00 1.00 1.00 1
jigsaw puzzle 0.33 1.00 0.50 1
jinrikisha 0.33 1.00 0.50 1
joystick 0.00 0.00 0.00 1
junco 1.00 1.00 1.00 1
keeshond 0.50 1.00 0.67 1
killer whale 1.00 1.00 1.00 1
kimono 0.00 0.00 0.00 1
king crab 0.50 1.00 0.67 1
king penguin 1.00 1.00 1.00 1
king snake 1.00 1.00 1.00 1
kit fox 0.50 1.00 0.67 1
kite 0.50 0.50 0.50 2
knee pad 1.00 1.00 1.00 1
knot 1.00 1.00 1.00 1
koala 1.00 1.00 1.00 1
komondor 0.50 1.00 0.67 1
kuvasz 0.00 0.00 0.00 0
lab coat 1.00 1.00 1.00 1
lacewing 0.00 0.00 0.00 2
ladle 0.00 0.00 0.00 2
ladybug 0.00 0.00 0.00 1
lakeside 0.00 0.00 0.00 1
lampshade 0.00 0.00 0.00 1
langur 0.00 0.00 0.00 1
laptop 0.00 0.00 0.00 0
lawn mower 1.00 1.00 1.00 1
leaf beetle 0.25 1.00 0.40 1
leafhopper 1.00 1.00 1.00 1
lemon 0.50 1.00 0.67 1
lens cap 0.00 0.00 0.00 2
leopard 0.00 0.00 0.00 0
lesser panda 0.00 0.00 0.00 0
letter opener 0.00 0.00 0.00 2
library 0.00 0.00 0.00 1
lifeboat 1.00 1.00 1.00 1
lighter 0.33 1.00 0.50 1
limousine 1.00 1.00 1.00 1
limpkin 0.00 0.00 0.00 1
liner 1.00 0.67 0.80 3
lion 0.50 1.00 0.67 1
lionfish 0.50 1.00 0.67 1
lipstick 0.33 0.50 0.40 2
llama 1.00 1.00 1.00 1
loggerhead 1.00 1.00 1.00 1
long-horned beetle 0.00 0.00 0.00 1
lorikeet 1.00 1.00 1.00 1
loudspeaker 0.00 0.00 0.00 0
lumbermill 1.00 1.00 1.00 1
lycaenid 0.00 0.00 0.00 1
lynx 0.00 0.00 0.00 2
macaque 0.00 0.00 0.00 0
macaw 1.00 1.00 1.00 1
magnetic compass 0.00 0.00 0.00 1
magpie 1.00 1.00 1.00 1
mailbag 0.00 0.00 0.00 2
mailbox 0.50 1.00 0.67 1
maillot 0.33 1.00 0.50 1
malamute 0.33 1.00 0.50 1
malinois 0.67 1.00 0.80 2
manhole cover 1.00 0.50 0.67 2
mantis 0.00 0.00 0.00 1
maraca 0.00 0.00 0.00 0
marimba 0.00 0.00 0.00 1
marmoset 1.00 1.00 1.00 1
marmot 0.50 1.00 0.67 1
mashed potato 1.00 1.00 1.00 1
mask 0.50 1.00 0.67 1
matchstick 0.00 0.00 0.00 1
maypole 0.50 1.00 0.67 1
maze 1.00 0.50 0.67 2
measuring cup 1.00 1.00 1.00 1
meat loaf 0.00 0.00 0.00 1
medicine chest 0.00 0.00 0.00 1
meerkat 1.00 1.00 1.00 1
megalith 1.00 1.00 1.00 1
menu 1.00 1.00 1.00 1
microphone 0.50 1.00 0.67 1
microwave 1.00 1.00 1.00 1
military uniform 0.00 0.00 0.00 1
milk can 0.00 0.00 0.00 1
miniature pinscher 1.00 1.00 1.00 2
miniature poodle 1.00 1.00 1.00 1
miniature schnauzer 1.00 1.00 1.00 1
minibus 1.00 1.00 1.00 1
miniskirt 0.00 0.00 0.00 2
minivan 0.00 0.00 0.00 1
mink 0.00 0.00 0.00 1
missile 1.00 1.00 1.00 1
mitten 0.00 0.00 0.00 0
mixing bowl 0.00 0.00 0.00 3
mobile home 0.25 1.00 0.40 1
modem 0.00 0.00 0.00 0
monarch 1.00 1.00 1.00 1
monastery 1.00 1.00 1.00 1
mongoose 0.00 0.00 0.00 1
monitor 0.00 0.00 0.00 1
moped 0.00 0.00 0.00 1
mortar 0.50 1.00 0.67 1
mortarboard 0.00 0.00 0.00 2
mosque 1.00 1.00 1.00 1
mosquito net 0.00 0.00 0.00 1
motor scooter 0.00 0.00 0.00 1
mountain bike 1.00 1.00 1.00 1
mountain tent 1.00 1.00 1.00 1
mouse 0.00 0.00 0.00 1
moving van 0.00 0.00 0.00 1
mud turtle 0.00 0.00 0.00 1
mushroom 0.00 0.00 0.00 0
nail 0.25 1.00 0.40 1
neck brace 0.00 0.00 0.00 1
necklace 1.00 0.50 0.67 2
nematode 0.00 0.00 0.00 1
nipple 0.00 0.00 0.00 1
notebook 1.00 0.50 0.67 2
obelisk 1.00 0.33 0.50 3
oboe 1.00 1.00 1.00 1
ocarina 0.00 0.00 0.00 1
odometer 1.00 1.00 1.00 1
oil filter 0.00 0.00 0.00 1
orange 1.00 1.00 1.00 1
orangutan 1.00 1.00 1.00 1
oscilloscope 0.50 0.50 0.50 2
ostrich 1.00 1.00 1.00 1
otter 0.00 0.00 0.00 1
overskirt 0.00 0.00 0.00 1
ox 1.00 1.00 1.00 1
oxcart 1.00 1.00 1.00 1
oxygen mask 0.00 0.00 0.00 1
oystercatcher 1.00 1.00 1.00 1
packet 0.00 0.00 0.00 1
paddle 0.00 0.00 0.00 0
padlock 0.33 0.50 0.40 2
paintbrush 0.00 0.00 0.00 1
pajama 0.50 0.50 0.50 2
palace 1.00 1.00 1.00 1
panpipe 0.00 0.00 0.00 1
paper towel 1.00 0.50 0.67 2
papillon 1.00 1.00 1.00 1
parachute 1.00 1.00 1.00 1
park bench 0.67 1.00 0.80 2
parking meter 0.00 0.00 0.00 1
partridge 1.00 0.50 0.67 2
passenger car 0.50 1.00 0.67 1
patas 1.00 0.33 0.50 3
patio 0.00 0.00 0.00 1
pay-phone 1.00 1.00 1.00 1
peacock 0.00 0.00 0.00 1
pedestal 0.00 0.00 0.00 0
pelican 1.00 1.00 1.00 1
pencil box 1.00 0.50 0.67 2
pencil sharpener 0.00 0.00 0.00 1
perfume 1.00 1.00 1.00 1
photocopier 1.00 1.00 1.00 1
pick 0.50 1.00 0.67 1
pickelhaube 1.00 1.00 1.00 1
picket fence 1.00 0.50 0.67 2
pickup 0.00 0.00 0.00 1
pier 0.00 0.00 0.00 1
piggy bank 0.00 0.00 0.00 1
pill bottle 0.00 0.00 0.00 1
pillow 0.00 0.00 0.00 0
pineapple 0.00 0.00 0.00 1
ping-pong ball 0.50 1.00 0.67 1
pinwheel 1.00 1.00 1.00 1
pirate 1.00 1.00 1.00 1
pitcher 1.00 0.50 0.67 2
pizza 1.00 1.00 1.00 1
plane 0.00 0.00 0.00 1
planetarium 1.00 1.00 1.00 1
plastic bag 0.00 0.00 0.00 2
plate 0.00 0.00 0.00 1
platypus 0.50 1.00 0.67 1
pole 0.00 0.00 0.00 1
polecat 0.00 0.00 0.00 1
pomegranate 1.00 1.00 1.00 1
poncho 0.50 1.00 0.67 1
pool table 1.00 1.00 1.00 1
pop bottle 0.00 0.00 0.00 1
porcupine 0.33 1.00 0.50 1
pot 1.00 0.50 0.67 2
potpie 0.00 0.00 0.00 1
potter's wheel 1.00 1.00 1.00 1
power drill 0.00 0.00 0.00 1
prairie chicken 1.00 1.00 1.00 1
prayer rug 0.33 1.00 0.50 1
printer 1.00 0.50 0.67 2
prison 1.00 1.00 1.00 1
proboscis monkey 1.00 1.00 1.00 1
projector 0.00 0.00 0.00 0
promontory 1.00 1.00 1.00 2
ptarmigan 1.00 1.00 1.00 1
puffer 0.00 0.00 0.00 1
pug 1.00 0.50 0.67 2
punching bag 0.00 0.00 0.00 1
purse 0.00 0.00 0.00 2
quail 1.00 1.00 1.00 1
quill 0.00 0.00 0.00 2
racer 0.00 0.00 0.00 1
racket 1.00 1.00 1.00 1
radiator 1.00 1.00 1.00 1
radio 1.00 1.00 1.00 1
radio telescope 0.50 1.00 0.67 1
rain barrel 0.00 0.00 0.00 1
ram 0.00 0.00 0.00 1
rapeseed 1.00 1.00 1.00 1
recreational vehicle 1.00 1.00 1.00 1
red fox 0.33 0.50 0.40 2
red wine 0.00 0.00 0.00 0
red wolf 0.00 0.00 0.00 2
red-backed sandpiper 0.00 0.00 0.00 1
red-breasted merganser 1.00 1.00 1.00 1
redbone 0.00 0.00 0.00 1
redshank 0.50 1.00 0.67 1
reel 0.00 0.00 0.00 1
reflex camera 0.00 0.00 0.00 0
refrigerator 0.00 0.00 0.00 0
restaurant 0.00 0.00 0.00 3
revolver 1.00 1.00 1.00 1
rifle 0.00 0.00 0.00 2
ringlet 0.50 1.00 0.67 1
ringneck snake 0.00 0.00 0.00 1
robin 0.50 1.00 0.67 1
rock beauty 0.00 0.00 0.00 0
rock crab 0.00 0.00 0.00 1
rock python 0.00 0.00 0.00 1
rocking chair 1.00 1.00 1.00 1
rotisserie 1.00 0.50 0.67 2
rubber eraser 0.00 0.00 0.00 1
ruddy turnstone 1.00 1.00 1.00 1
ruffed grouse 0.00 0.00 0.00 0
rugby ball 0.00 0.00 0.00 1
rule 1.00 0.50 0.67 2
running shoe 0.00 0.00 0.00 1
safe 0.50 0.50 0.50 2
safety pin 1.00 1.00 1.00 2
saltshaker 0.00 0.00 0.00 0
sandal 1.00 1.00 1.00 1
sandbar 1.00 1.00 1.00 1
sarong 0.00 0.00 0.00 1
sax 0.00 0.00 0.00 1
scabbard 1.00 0.33 0.50 3
scale 0.00 0.00 0.00 1
schipperke 0.50 1.00 0.67 2
school bus 0.50 1.00 0.67 1
scoreboard 0.33 1.00 0.50 1
scorpion 0.00 0.00 0.00 1
screw 1.00 1.00 1.00 1
scuba diver 1.00 1.00 1.00 1
sea anemone 0.00 0.00 0.00 0
sea cucumber 1.00 1.00 1.00 1
sea lion 0.50 1.00 0.67 1
sea slug 1.00 1.00 1.00 1
sea urchin 0.00 0.00 0.00 1
seat belt 0.25 1.00 0.40 1
sewing machine 0.00 0.00 0.00 1
shield 0.00 0.00 0.00 0
shoe shop 1.00 1.00 1.00 1
shoji 1.00 1.00 1.00 1
shopping basket 0.50 1.00 0.67 1
shopping cart 0.00 0.00 0.00 0
shovel 0.00 0.00 0.00 1
shower cap 0.33 1.00 0.50 1
shower curtain 0.50 1.00 0.67 1
siamang 0.00 0.00 0.00 2
sidewinder 0.00 0.00 0.00 1
silky terrier 1.00 1.00 1.00 1
ski 1.00 0.50 0.67 2
ski mask 0.00 0.00 0.00 0
skunk 0.50 1.00 0.67 2
sleeping bag 0.50 1.00 0.67 1
slide rule 0.00 0.00 0.00 1
sliding door 0.67 1.00 0.80 2
slot 0.50 1.00 0.67 1
sloth bear 1.00 1.00 1.00 1
slug 0.00 0.00 0.00 1
snail 0.00 0.00 0.00 1
snorkel 1.00 0.50 0.67 2
snow leopard 1.00 1.00 1.00 1
snowmobile 1.00 1.00 1.00 1
snowplow 0.50 1.00 0.67 1
soap dispenser 0.00 0.00 0.00 3
soccer ball 1.00 1.00 1.00 1
soft-coated wheaten terrier 1.00 0.33 0.50 3
solar dish 0.00 0.00 0.00 1
sombrero 0.00 0.00 0.00 1
sorrel 0.50 0.50 0.50 2
soup bowl 0.50 1.00 0.67 1
spaghetti squash 0.00 0.00 0.00 1
speedboat 1.00 1.00 1.00 1
spider web 1.00 1.00 1.00 1
spindle 0.00 0.00 0.00 0
spiny lobster 1.00 1.00 1.00 1
spoonbill 1.00 1.00 1.00 1
sports car 0.00 0.00 0.00 1
spotlight 0.00 0.00 0.00 1
spotted salamander 1.00 1.00 1.00 1
squirrel monkey 0.00 0.00 0.00 1
stage 0.25 1.00 0.40 1
standard schnauzer 0.00 0.00 0.00 1
starfish 0.00 0.00 0.00 1
steam locomotive 0.50 1.00 0.67 1
steel arch bridge 0.00 0.00 0.00 0
steel drum 0.50 1.00 0.67 1
stethoscope 0.00 0.00 0.00 1
stingray 0.50 1.00 0.67 1
stinkhorn 0.00 0.00 0.00 1
stole 0.00 0.00 0.00 1
stone wall 1.00 1.00 1.00 1
stove 0.50 1.00 0.67 1
strainer 0.50 1.00 0.67 1
strawberry 0.00 0.00 0.00 1
street sign 0.00 0.00 0.00 1
streetcar 0.50 1.00 0.67 1
stretcher 0.00 0.00 0.00 1
studio couch 1.00 1.00 1.00 1
stupa 1.00 1.00 1.00 1
sturgeon 0.00 0.00 0.00 1
submarine 0.00 0.00 0.00 1
suit 0.00 0.00 0.00 1
sulphur butterfly 1.00 1.00 1.00 1
sulphur-crested cockatoo 0.00 0.00 0.00 1
sundial 0.00 0.00 0.00 0
sunglass 0.00 0.00 0.00 1
sunscreen 1.00 0.50 0.67 2
suspension bridge 0.00 0.00 0.00 1
swab 0.00 0.00 0.00 0
sweatshirt 0.00 0.00 0.00 0
swimming trunks 0.50 1.00 0.67 1
swing 0.00 0.00 0.00 3
switch 0.00 0.00 0.00 0
syringe 0.00 0.00 0.00 1
tabby 1.00 0.50 0.67 2
table lamp 0.50 1.00 0.67 1
tailed frog 0.50 0.50 0.50 2
tank 1.00 0.50 0.67 2
tape player 0.00 0.00 0.00 2
tarantula 1.00 1.00 1.00 1
teapot 1.00 1.00 1.00 1
teddy 1.00 1.00 1.00 1
television 0.00 0.00 0.00 1
tench 1.00 1.00 1.00 1
tennis ball 0.50 1.00 0.67 1
terrapin 1.00 0.67 0.80 3
thatch 0.00 0.00 0.00 1
theater curtain 0.50 1.00 0.67 1
thimble 0.00 0.00 0.00 2
three-toed sloth 0.50 1.00 0.67 1
throne 0.50 1.00 0.67 1
thunder snake 0.00 0.00 0.00 1
tick 0.00 0.00 0.00 0
tiger 1.00 1.00 1.00 2
tiger beetle 0.00 0.00 0.00 1
tiger shark 1.00 1.00 1.00 2
tile roof 1.00 1.00 1.00 1
timber wolf 0.00 0.00 0.00 1
toaster 0.00 0.00 0.00 0
toilet seat 1.00 1.00 1.00 2
toilet tissue 0.20 0.50 0.29 2
totem pole 0.50 1.00 0.67 1
toucan 1.00 1.00 1.00 1
tow truck 0.50 1.00 0.67 1
toy poodle 0.00 0.00 0.00 1
toyshop 0.00 0.00 0.00 1
tractor 1.00 1.00 1.00 1
traffic light 1.00 0.50 0.67 2
trailer truck 1.00 1.00 1.00 1
tray 0.00 0.00 0.00 1
tree frog 1.00 1.00 1.00 1
trench coat 0.00 0.00 0.00 1
triceratops 0.00 0.00 0.00 2
tricycle 0.00 0.00 0.00 3
trifle 1.00 1.00 1.00 1
trilobite 0.50 1.00 0.67 1
trimaran 1.00 1.00 1.00 1
tripod 1.00 1.00 1.00 1
triumphal arch 0.50 1.00 0.67 1
trolleybus 0.00 0.00 0.00 1
trombone 0.00 0.00 0.00 1
turnstile 0.00 0.00 0.00 1
tusker 1.00 0.50 0.67 2
typewriter keyboard 1.00 0.50 0.67 2
umbrella 0.50 0.50 0.50 2
unicycle 0.50 1.00 0.67 1
upright 0.50 1.00 0.67 1
vacuum 1.00 0.50 0.67 2
valley 1.00 0.50 0.67 2
vase 0.00 0.00 0.00 0
vault 1.00 0.33 0.50 3
velvet 0.00 0.00 0.00 1
vending machine 1.00 1.00 1.00 1
viaduct 1.00 1.00 1.00 1
vine snake 0.00 0.00 0.00 1
violin 1.00 1.00 1.00 1
vizsla 0.00 0.00 0.00 1
volcano 1.00 1.00 1.00 1
volleyball 1.00 1.00 1.00 1
vulture 0.00 0.00 0.00 1
waffle iron 0.00 0.00 0.00 1
walking stick 0.00 0.00 0.00 1
wall clock 1.00 1.00 1.00 2
wallaby 1.00 1.00 1.00 1
wallet 0.00 0.00 0.00 0
wardrobe 0.50 1.00 0.67 1
warplane 0.00 0.00 0.00 0
warthog 0.50 1.00 0.67 1
washbasin 0.00 0.00 0.00 3
washer 1.00 1.00 1.00 1
water buffalo 1.00 0.50 0.67 2
water jug 0.00 0.00 0.00 2
water ouzel 1.00 1.00 1.00 1
water snake 1.00 1.00 1.00 1
water tower 1.00 1.00 1.00 2
weasel 0.00 0.00 0.00 0
web site 1.00 0.33 0.50 3
weevil 0.00 0.00 0.00 1
whiptail 0.00 0.00 0.00 2
whiskey jug 1.00 1.00 1.00 1
whistle 1.00 1.00 1.00 1
white stork 1.00 1.00 1.00 1
wig 0.00 0.00 0.00 1
wild boar 0.00 0.00 0.00 1
window screen 1.00 0.50 0.67 2
window shade 1.00 1.00 1.00 1
wine bottle 0.00 0.00 0.00 1
wing 1.00 1.00 1.00 1
wire-haired fox terrier 1.00 1.00 1.00 1
wolf spider 1.00 0.50 0.67 2
wombat 0.00 0.00 0.00 1
wood rabbit 0.00 0.00 0.00 0
wooden spoon 0.50 0.50 0.50 2
wool 0.00 0.00 0.00 2
worm fence 1.00 1.00 1.00 1
wreck 0.50 1.00 0.67 1
yawl 1.00 1.00 1.00 1
yellow lady's slipper 1.00 1.00 1.00 1
yurt 1.00 1.00 1.00 1
zebra 0.00 0.00 0.00 1
zucchini 1.00 1.00 1.00 1
accuracy 0.54 1000
macro avg 0.47 0.52 0.47 1000
weighted avg 0.53 0.54 0.51 1000
Conclusion#
FiftyOne Zoo simplifies the process of working with computer vision datasets and models. It provides a valuable resource for researchers, developers, and enthusiasts.
Further Exploration:#
Explore the FiftyOne documentation for more advanced features.
Try different datasets and models from the Zoo.
Integrate FiftyOne Zoo into your computer vision workflows.
Next Steps#
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