CIFAR-100

The CIFAR-100 dataset is just like CIFAR-10, except that it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class. The 100 classes in CIFAR-100 are grouped into 20 superclasses. Each image comes with a fine label (the class to which it belongs) and a coarse label (the superclass to which it belongs). Here is the list of classes in CIFAR-100:

Superclass

Classes

Aquatic mammals

Beaver, dolphin, otter, seal, and whale

Fish

Aquarium fish, flatfish, ray, shark, and trout

Flowers

Orchids, poppies, roses, sunflowers, and tulips

Food containers

Bottles, bowls, cans, cups, and plates

Fruit and vegetables

Apples, mushrooms, oranges, pears, and sweet peppers

Household electrical devices

Clock, computer keyboard, lamp, telephone, and television

Household furniture

Bed, chair, couch, table, and wardrobe

Insects

Bee, beetle, butterfly, caterpillar, and cockroach

Large carnivores

Bear, leopard, lion, tiger, and wolf

Large man-made outdoor things

Bridge, castle, house, road, and skyscraper

Large natural outdoor scenes

Cloud, forest, mountain, plain, and sea

Large omnivores and herbivores

Camel, cattle, chimpanzee, elephant, and kangaroo

Medium-sized mammals

Fox, porcupine, possum, raccoon, and skunk

Non-insect invertebrates

Crab, lobster, snail, spider, and worm

People

Baby, boy, girl, man, and woman

Reptiles

Crocodile, dinosaur, lizard, snake, and turtle

Small mammals

Hamster, mouse, rabbit, shrew, and squirrel

Trees

Maple, oak, palm, pine, and willow

Vehicles 1

Bicycle, bus, motorcycle, pickup truck, and train

Vehicles 2

Lawn-mower, rocket, streetcar, tank, and tractor

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