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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': BACKGROUND_Google |
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'1': Faces |
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'2': Faces_easy |
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'3': Leopards |
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'4': Motorbikes |
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'5': accordion |
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'6': airplanes |
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'7': anchor |
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'8': ant |
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'9': barrel |
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'10': bass |
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'11': beaver |
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'12': binocular |
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'13': bonsai |
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'14': brain |
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'15': brontosaurus |
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'16': buddha |
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'17': butterfly |
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'18': camera |
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'19': cannon |
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'20': car_side |
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'21': ceiling_fan |
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'22': cellphone |
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'23': chair |
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'24': chandelier |
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'25': cougar_body |
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'26': cougar_face |
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'27': crab |
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'28': crayfish |
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'29': crocodile |
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'30': crocodile_head |
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'31': cup |
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'32': dalmatian |
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'33': dollar_bill |
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'34': dolphin |
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'35': dragonfly |
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'36': electric_guitar |
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'37': elephant |
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'38': emu |
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'39': euphonium |
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'40': ewer |
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'41': ferry |
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'42': flamingo |
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'43': flamingo_head |
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'44': garfield |
|
'45': gerenuk |
|
'46': gramophone |
|
'47': grand_piano |
|
'48': hawksbill |
|
'49': headphone |
|
'50': hedgehog |
|
'51': helicopter |
|
'52': ibis |
|
'53': inline_skate |
|
'54': joshua_tree |
|
'55': kangaroo |
|
'56': ketch |
|
'57': lamp |
|
'58': laptop |
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'59': llama |
|
'60': lobster |
|
'61': lotus |
|
'62': mandolin |
|
'63': mayfly |
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'64': menorah |
|
'65': metronome |
|
'66': minaret |
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'67': nautilus |
|
'68': octopus |
|
'69': okapi |
|
'70': pagoda |
|
'71': panda |
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'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 |
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splits: |
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- name: test |
|
num_bytes: 87143920.1032546 |
|
num_examples: 6060 |
|
- name: train |
|
num_bytes: 44935085.33674541 |
|
num_examples: 3084 |
|
download_size: 137936915 |
|
dataset_size: 132079005.44000001 |
|
task_categories: |
|
- image-classification |
|
language: |
|
- en |
|
pretty_name: d |
|
--- |
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# Dataset Card for "Caltech-101" |
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|
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This is a non-official ```Caltech-101``` dataset for **fine-grained** ```Image Classification.``` |
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Since there is no official method for separating training and test data, we arbitrarily split the data similar to TensorFlow. |
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If you want to download the official dataset, please refer to the [here](https://data.caltech.edu/records/mzrjq-6wc02). |
