--- 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)