CIFAR

by Alex KrizhevskyUnknown

CIFAR

The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class. CIFAR100 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).

Dataset Attributes

Label SVG
TasksClassification
Label SVG
CategoriesLiving Things, Inanimate Objects
Label SVG
SensorRGB Camera

Class Labels

AirplaneAutomobileBirdCatDeerDogFrogHorseShipTruckbeaverdolphinottersealwhalefishaquarium fishflatfishraysharktroutflowersorchidspoppiesrosessunflowerstulipsfood containersbottlesbowlscanscupsplatesfruit and vegetablesapplesmushroomsorangespearssweet peppershousehold electrical devicesclockcomputer keyboardlamptelephonetelevisionhousehold furniturebedchaircouchtablewardrobeinsectsbeebeetlebutterflycaterpillarcockroachlarge carnivoresbearleopardliontigerwolflarge man-made outdoor thingsbridgecastlehouseroadskyscraperlarge natural outdoor scenescloudforestmountainplainsealarge omnivores and herbivorescamelcattlechimpanzeeelephantkangaroomedium-sized mammals foxporcupinepossumraccoonskunknon-insect invertebratescrablobstersnailspiderwormpeoplebabyboygirlmanwomanreptilescrocodiledinosaurlizardsnaketurtlesmall mammalshamstermouserabbitshrewsquirreltreesmapleoakpalmpinewillowvehicles 1bicyclebusmotorcyclepickup trucktrainvehicles 2lawn-mowerrocketstreetcartanktractor