该文介绍了一组cifar100数据集,该数据可应用图像识别和分类,您也可以访问帕伊提提*载下**使用。
cifar100简介
CIFAR-10数据集由10个类的60000个32x32彩*图色**像组成,每个类有6000个图像。有50000个训练图像和10000个测试图像。数据集分为五个训练批次和一个测试批次,每个批次有10000个图像。测试批次包含来自每个类别的恰好1000个随机选择的图像。训练批次以随机顺序包含剩余图像,但一些训练批次可能包含来自一个类别的图像比另一个更多。总体来说,五个训练集之和包含来自每个类的正好5000张图像。
cifar100分类
以下是数据集中的类,以及来自每个类的10个随机图像:

这些类完全相互排斥。汽车和卡车之间没有重叠。“汽车”包括轿车,SUV,这类东西。“卡车”只包括大卡车。都不包括皮卡车。
CIFAR-100中的类别列表:
|
超类 |
类别 |
|
水生哺乳动物 |
海狸,海豚,水獭,海豹,鲸鱼 |
|
鱼 |
水族馆的鱼,比目鱼,射线,鲨鱼,鳟鱼 |
|
花卉 |
兰花,*粟罂**花,玫瑰,向日葵,郁金香 |
|
食品容器 |
瓶子,碗,罐子,杯子,盘子 |
|
水果和蔬菜 |
苹果,蘑菇,橘子,梨,甜椒 |
|
家用电器 |
时钟,电脑键盘,台灯,电话机,电视机 |
|
家用家具 |
床,椅子,沙发,桌子,衣柜 |
|
昆虫 |
蜜蜂,甲虫,蝴蝶,毛虫,蟑螂 |
|
大型食肉动物 |
熊,豹,狮子,老虎,狼 |
|
大型人造户外用品 |
桥,城堡,房子,路,摩天大楼 |
|
大自然的户外场景 |
云,森林,山,平原,海 |
|
大杂食动物和食草动物 |
骆驼,牛,黑猩猩,大象,袋鼠 |
|
中型哺乳动物 |
狐狸,豪猪,负鼠,浣熊,臭鼬 |
|
非昆虫无脊椎动物 |
螃蟹,龙虾,蜗牛,蜘蛛,蠕虫 |
|
人 |
宝贝,男孩,女孩,男人,女人 |
|
爬行动物 |
鳄鱼,恐龙,蜥蜴,蛇,乌龟 |
|
小型哺乳动物 |
仓鼠,老鼠,兔子,母老虎,松鼠 |
|
树木 |
枫树,橡树,棕榈,松树,柳树 |
|
车辆1 |
自行车,公共汽车,摩托车,皮卡车,火车 |
|
车辆2 |
割草机,火箭,有轨电车,坦克,拖拉机 |
|
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 |