omni64/cifar100
收藏Hugging Face2024-07-07 更新2024-07-22 收录
下载链接：
https://hf-mirror.com/datasets/omni64/cifar100
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资源简介：
该数据集包含图像数据，每张图像有两个标签：fine_label和coarse_label。fine_label包含100个细粒度类别，如苹果、观赏鱼等，coarse_label包含20个更广泛的类别，如水生哺乳动物、鱼类等。数据集分为训练集和测试集，训练集包含50000个样本，测试集包含10000个样本。此外，数据集还包含一个img64字段，可能是图像的某种编码或压缩表示。
This dataset is an image classification dataset, containing image data (img), fine-grained labels (fine_label), and coarse-grained labels (coarse_label). The fine-grained labels include 100 categories such as apple, aquarium fish, baby, etc., while the coarse-grained labels include 20 categories such as aquatic mammals, fish, flowers, etc. The dataset is divided into a training set and a test set, with 50000 and 10000 samples respectively.
提供机构：
omni64
原始信息汇总
数据集概述
特征
- img: 图像数据
- fine_label: 细粒度标签
- 类别名称:
- 0: apple
- 1: aquarium_fish
- 2: baby
- 3: bear
- 4: beaver
- 5: bed
- 6: bee
- 7: beetle
- 8: bicycle
- 9: bottle
- 10: bowl
- 11: boy
- 12: bridge
- 13: bus
- 14: butterfly
- 15: camel
- 16: can
- 17: castle
- 18: caterpillar
- 19: cattle
- 20: chair
- 21: chimpanzee
- 22: clock
- 23: cloud
- 24: cockroach
- 25: couch
- 26: cra
- 27: crocodile
- 28: cup
- 29: dinosaur
- 30: dolphin
- 31: elephant
- 32: flatfish
- 33: forest
- 34: fox
- 35: girl
- 36: hamster
- 37: house
- 38: kangaroo
- 39: keyboard
- 40: lamp
- 41: lawn_mower
- 42: leopard
- 43: lion
- 44: lizard
- 45: lobster
- 46: man
- 47: maple_tree
- 48: motorcycle
- 49: mountain
- 50: mouse
- 51: mushroom
- 52: oak_tree
- 53: orange
- 54: orchid
- 55: otter
- 56: palm_tree
- 57: pear
- 58: pickup_truck
- 59: pine_tree
- 60: plain
- 61: plate
- 62: poppy
- 63: porcupine
- 64: possum
- 65: rabbit
- 66: raccoon
- 67: ray
- 68: road
- 69: rocket
- 70: rose
- 71: sea
- 72: seal
- 73: shark
- 74: shrew
- 75: skunk
- 76: skyscraper
- 77: snail
- 78: snake
- 79: spider
- 80: squirrel
- 81: streetcar
- 82: sunflower
- 83: sweet_pepper
- 84: table
- 85: tank
- 86: telephone
- 87: television
- 88: tiger
- 89: tractor
- 90: train
- 91: trout
- 92: tulip
- 93: turtle
- 94: wardrobe
- 95: whale
- 96: willow_tree
- 97: wolf
- 98: woman
- 99: worm
- 类别名称:
- coarse_label: 粗粒度标签
- 类别名称:
- 0: aquatic_mammals
- 1: fish
- 2: flowers
- 3: food_containers
- 4: fruit_and_vegetables
- 5: household_electrical_devices
- 6: household_furniture
- 7: insects
- 8: large_carnivores
- 9: large_man-made_outdoor_things
- 10: large_natural_outdoor_scenes
- 11: large_omnivores_and_herbivores
- 12: medium_mammals
- 13: non-insect_invertebrates
- 14: people
- 15: reptiles
- 16: small_mammals
- 17: trees
- 18: vehicles_1
- 19: vehicles_2
- 类别名称:
- img64: 字符串数据
数据集划分
- train: 训练集
- 样本数量: 50000
- 数据大小: 263907842.0 字节
- test: 测试集
- 样本数量: 10000
- 数据大小: 52910173.0 字节
数据集大小
- 下载大小: 335856772 字节
- 数据集大小: 316818015.0 字节
配置
- config_name: default
- 数据文件路径:
- 训练集: data/train-*
- 测试集: data/test-*
- 数据文件路径:
