Multimodal-Fatima/TinyImagenet_800_validation

---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': goldfish
'1': fire salamander
'2': American bullfrog
'3': tailed frog
'4': American alligator
'5': boa constrictor
'6': trilobite
'7': scorpion
'8': southern black widow
'9': tarantula
'10': centipede
'11': koala
'12': jellyfish
'13': brain coral
'14': snail
'15': sea slug
'16': American lobster
'17': spiny lobster
'18': black stork
'19': king penguin
'20': albatross
'21': dugong
'22': Yorkshire Terrier
'23': Golden Retriever
'24': Labrador Retriever
'25': German Shepherd Dog
'26': Standard Poodle
'27': tabby cat
'28': Persian cat
'29': Egyptian Mau
'30': cougar
'31': lion
'32': brown bear
'33': ladybug
'34': grasshopper
'35': stick insect
'36': cockroach
'37': praying mantis
'38': dragonfly
'39': monarch butterfly
'40': sulphur butterfly
'41': sea cucumber
'42': guinea pig
'43': pig
'44': ox
'45': bison
'46': bighorn sheep
'47': gazelle
'48': arabian camel
'49': orangutan
'50': chimpanzee
'51': baboon
'52': African bush elephant
'53': red panda
'54': abacus
'55': academic gown
'56': altar
'57': backpack
'58': baluster / handrail
'59': barbershop
'60': barn
'61': barrel
'62': basketball
'63': bathtub
'64': station wagon
'65': lighthouse
'66': beaker
'67': beer bottle
'68': bikini
'69': binoculars
'70': birdhouse
'71': bow tie
'72': brass memorial plaque
'73': bucket
'74': high-speed train
'75': butcher shop
'76': candle
'77': cannon
'78': cardigan
'79': automated teller machine
'80': CD player
'81': storage chest
'82': Christmas stocking
'83': cliff dwelling
'84': computer keyboard
'85': candy store
'86': convertible
'87': crane bird
'88': dam
'89': desk
'90': dining table
'91': dumbbell
'92': flagpole
'93': fly
'94': fountain
'95': freight car
'96': frying pan
'97': fur coat
'98': gas mask or respirator
'99': go-kart
'100': gondola
'101': hourglass
'102': iPod
'103': rickshaw
'104': kimono
'105': lampshade
'106': lawn mower
'107': lifeboat
'108': limousine
'109': magnetic compass
'110': maypole
'111': military uniform
'112': miniskirt
'113': moving van
'114': neck brace
'115': obelisk
'116': oboe
'117': pipe organ
'118': parking meter
'119': payphone
'120': picket fence
'121': pill bottle
'122': plunger
'123': police van
'124': poncho
'125': soda bottle
'126': potter's wheel
'127': missile
'128': punching bag
'129': refrigerator
'130': remote control
'131': rocking chair
'132': rugby ball
'133': sandal
'134': school bus
'135': scoreboard
'136': sewing machine
'137': snorkel
'138': sock
'139': sombrero
'140': space heater
'141': spider web
'142': sports car
'143': through arch bridge
'144': stopwatch
'145': sunglasses
'146': suspension bridge
'147': swim trunks / shorts
'148': syringe
'149': teapot
'150': teddy bear
'151': thatched roof
'152': torch
'153': tractor
'154': triumphal arch
'155': trolleybus
'156': turnstile
'157': umbrella
'158': vestment
'159': viaduct
'160': volleyball
'161': water jug
'162': water tower
'163': wok
'164': wooden spoon
'165': comic book
'166': fishing casting reel
'167': guacamole
'168': ice cream
'169': popsicle
'170': goose
'171': drumstick
'172': plate
'173': pretzel
'174': mashed potatoes
'175': cauliflower
'176': bell pepper
'177': lemon
'178': banana
'179': pomegranate
'180': meatloaf
'181': pizza
'182': pot pie
'183': espresso
'184': bee
'185': apron
'186': pole
'187': Chihuahua
'188': mountain
'189': cliff
'190': coral reef
'191': lakeshore
'192': beach
'193': acorn
'194': broom
'195': mushroom
'196': metal nail
'197': chain
'198': slug
'199': orange
- name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full
sequence: string
- name: Attributes_ViT_L_14_descriptors_text_davinci_003_full
sequence: string
- name: clip_tags_ViT_L_14_simple_specific
dtype: string
- name: clip_tags_ViT_L_14_ensemble_specific
dtype: string
- name: clip_tags_LAION_ViT_H_14_2B_simple_specific
dtype: string
- name: clip_tags_LAION_ViT_H_14_2B_ensemble_specific
dtype: string
- name: id
dtype: int64
splits:
- name: validation
num_bytes: 2050138.0
num_examples: 800
download_size: 1357006
dataset_size: 2050138.0
---
# Dataset Card for "TinyImagenet_800_validation"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集名称

"TinyImagenet_800_validation"

数据集特征

1. image

   • 数据类型：image

2. label

   • 数据类型：class_label
   • 类别名称：
     • 0: goldfish
     • 1: fire salamander
     • ...
     • 199: orange

3. Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full

   • 数据类型：sequence, string

4. Attributes_ViT_L_14_descriptors_text_davinci_003_full

   • 数据类型：sequence, string

5. clip_tags_ViT_L_14_simple_specific

   • 数据类型：string

6. clip_tags_ViT_L_14_ensemble_specific

   • 数据类型：string

7. clip_tags_LAION_ViT_H_14_2B_simple_specific

   • 数据类型：string

8. clip_tags_LAION_ViT_H_14_2B_ensemble_specific

   • 数据类型：string

9. id

   • 数据类型：int64

数据集分割

• 名称: validation
  • 数据量: 2050138.0 bytes
  • 示例数量: 800

数据集大小

• 下载大小: 1357006 bytes
• 数据集大小: 2050138.0 bytes