size_categories:1K<n<10K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': accordion
          '1': airplanes
          '2': anchor
          '3': ant
          '4': background google
          '5': barrel
          '6': bass
          '7': beaver
          '8': binocular
          '9': bonsai
          '10': brain
          '11': brontosaurus
          '12': buddha
          '13': butterfly
          '14': camera
          '15': cannon
          '16': car side
          '17': ceiling fan
          '18': cellphone
          '19': chair
          '20': chandelier
          '21': cougar body
          '22': cougar face
          '23': crab
          '24': crayfish
          '25': crocodile
          '26': crocodile head
          '27': cup
          '28': dalmatian
          '29': dollar bill
          '30': dolphin
          '31': dragonfly
          '32': electric guitar
          '33': elephant
          '34': emu
          '35': euphonium
          '36': ewer
          '37': faces
          '38': faces easy
          '39': ferry
          '40': flamingo
          '41': flamingo head
          '42': garfield
          '43': gerenuk
          '44': gramophone
          '45': grand piano
          '46': hawksbill
          '47': headphone
          '48': hedgehog
          '49': helicopter
          '50': ibis
          '51': inline skate
          '52': joshua tree
          '53': kangaroo
          '54': ketch
          '55': lamp
          '56': laptop
          '57': leopards
          '58': llama
          '59': lobster
          '60': lotus
          '61': mandolin
          '62': mayfly
          '63': menorah
          '64': metronome
          '65': minaret
          '66': motorbikes
          '67': nautilus
          '68': octopus
          '69': okapi
          '70': pagoda
          '71': panda
          '72': pigeon
          '73': pizza
          '74': platypus
          '75': pyramid
          '76': revolver
          '77': rhino
          '78': rooster
          '79': saxophone
          '80': schooner
          '81': scissors
          '82': scorpion
          '83': sea horse
          '84': snoopy
          '85': soccer ball
          '86': stapler
          '87': starfish
          '88': stegosaurus
          '89': stop sign
          '90': strawberry
          '91': sunflower
          '92': tick
          '93': trilobite
          '94': umbrella
          '95': watch
          '96': water lilly
          '97': wheelchair
          '98': wild cat
          '99': windsor chair
          '100': wrench
          '101': yin yang
  - name: id
    dtype: int64
  - name: clip_tags_ViT_L_14
    sequence: string
  - name: LLM_Description_opt175b_downstream_tasks_ViT_L_14
    sequence: string
  - name: LLM_Description_gpt3_downstream_tasks_ViT_L_14
    sequence: string
  - name: blip_caption
    dtype: string
  - name: LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14
    sequence: string
  - name: Attributes_ViT_L_14_text_davinci_003_full
    sequence: string
  - name: Attributes_ViT_L_14_text_davinci_003_caltech101
    sequence: string
  - name: clip_tags_ViT_L_14_with_openai_classes
    sequence: string
  - name: clip_tags_ViT_L_14_wo_openai_classes
    sequence: string
  - name: clip_tags_ViT_L_14_simple_specific
    dtype: string
  - name: clip_tags_ViT_B_16_simple_specific
    dtype: string
  - name: clip_tags_ViT_B_16_ensemble_specific
    dtype: string
  - name: clip_tags_ViT_B_32_simple_specific
    dtype: string
  - name: clip_tags_ViT_B_32_ensemble_specific
    dtype: string
  - name: Attributes_ViT_B_16_descriptors_text_davinci_003_full
    sequence: string
  - name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full
    sequence: 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
  splits:
  - name: train
    num_bytes: 49965015.0
    num_examples: 3060
  download_size: 45077220
  dataset_size: 49965015.0
---
# Dataset Card for "Caltech101_with_background_train"

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