Name | DL | Torrents | Total Size | Deep Learning [edit] | 50 | 963.86GB | 541 | 0 | Computer Vision [edit] | 79 | 1.41TB | 657 | 0 |
cifar-100-binary.tar.gz | 168.51MB |
Type: Dataset
Tags: Dataset
Bibtex:
Tags: Dataset
Bibtex:
@article{, title= {CIFAR-100 (Canadian Institute for Advanced Research)}, journal= {}, author= {Alex Krizhevsky and Vinod Nair and Geoffrey Hinton}, year= {}, url= {http://www.cs.toronto.edu/~kriz/cifar.html}, abstract= {This dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class. The 100 classes in the 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 the CIFAR-100: Superclass Classes aquatic mammals beaver, dolphin, otter, seal, whale fish aquarium fish, flatfish, ray, shark, trout flowers orchids, poppies, roses, sunflowers, tulips food containers bottles, bowls, cans, cups, plates fruit and vegetables apples, mushrooms, oranges, pears, sweet peppers household electrical devices clock, computer keyboard, lamp, telephone, television household furniture bed, chair, couch, table, wardrobe insects bee, beetle, butterfly, caterpillar, cockroach large carnivores bear, leopard, lion, tiger, wolf large man-made outdoor things bridge, castle, house, road, skyscraper large natural outdoor scenes cloud, forest, mountain, plain, sea large omnivores and herbivores camel, cattle, chimpanzee, elephant, kangaroo medium-sized mammals fox, porcupine, possum, raccoon, skunk non-insect invertebrates crab, lobster, snail, spider, worm people baby, boy, girl, man, woman reptiles crocodile, dinosaur, lizard, snake, turtle small mammals hamster, mouse, rabbit, shrew, squirrel trees maple, oak, palm, pine, willow vehicles 1 bicycle, bus, motorcycle, pickup truck, train vehicles 2 lawn-mower, rocket, streetcar, tank, tractor Yes, I know mushrooms aren't really fruit or vegetables and bears aren't really carnivores. }, keywords= {Dataset}, terms= {} }