---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': English_foxhound
          '1': dhole
          '2': Chesapeake_Bay_retriever
          '3': Irish_wolfhound
          '4': Afghan_hound
          '5': Australian_terrier
          '6': Saint_Bernard
          '7': dingo
          '8': Siberian_husky
          '9': Sealyham_terrier
          '10': redbone
          '11': Norwegian_elkhound
          '12': schipperke
          '13': soft
          '14': komondor
          '15': affenpinscher
          '16': Kerry_blue_terrier
          '17': Pekinese
          '18': black
          '19': malinois
          '20': Boston_bull
          '21': Airedale
          '22': otterhound
          '23': Samoyed
          '24': standard_poodle
          '25': basset
          '26': Maltese_dog
          '27': Bedlington_terrier
          '28': Lhasa
          '29': Great_Pyrenees
          '30': Scottish_deerhound
          '31': Cardigan
          '32': English_springer
          '33': German_shepherd
          '34': Lakeland_terrier
          '35': Italian_greyhound
          '36': Norfolk_terrier
          '37': keeshond
          '38': curly
          '39': Irish_terrier
          '40': Japanese_spaniel
          '41': Greater_Swiss_Mountain_dog
          '42': EntleBucher
          '43': borzoi
          '44': American_Staffordshire_terrier
          '45': Gordon_setter
          '46': Doberman
          '47': Appenzeller
          '48': Border_terrier
          '49': Mexican_hairless
          '50': Rhodesian_ridgeback
          '51': bloodhound
          '52': pug
          '53': Sussex_spaniel
          '54': kelpie
          '55': French_bulldog
          '56': cocker_spaniel
          '57': Border_collie
          '58': Bouvier_des_Flandres
          '59': giant_schnauzer
          '60': toy_terrier
          '61': Blenheim_spaniel
          '62': miniature_pinscher
          '63': Bernese_mountain_dog
          '64': West_Highland_white_terrier
          '65': golden_retriever
          '66': Shetland_sheepdog
          '67': Ibizan_hound
          '68': kuvasz
          '69': Tibetan_mastiff
          '70': papillon
          '71': Weimaraner
          '72': vizsla
          '73': whippet
          '74': briard
          '75': Tibetan_terrier
          '76': flat
          '77': Pomeranian
          '78': bluetick
          '79': Staffordshire_bullterrier
          '80': Rottweiler
          '81': bull_mastiff
          '82': silky_terrier
          '83': Walker_hound
          '84': Irish_setter
          '85': cairn
          '86': Newfoundland
          '87': Shih
          '88': wire
          '89': malamute
          '90': basenji
          '91': English_setter
          '92': miniature_poodle
          '93': toy_poodle
          '94': Brabancon_griffon
          '95': Saluki
          '96': German_short
          '97': chow
          '98': African_hunting_dog
          '99': Eskimo_dog
          '100': Welsh_springer_spaniel
          '101': boxer
          '102': Old_English_sheepdog
          '103': Dandie_Dinmont
          '104': Yorkshire_terrier
          '105': Irish_water_spaniel
          '106': groenendael
          '107': standard_schnauzer
          '108': Norwich_terrier
          '109': Brittany_spaniel
          '110': beagle
          '111': Scotch_terrier
          '112': Great_Dane
          '113': miniature_schnauzer
          '114': Leonberg
          '115': collie
          '116': Labrador_retriever
          '117': clumber
          '118': Pembroke
          '119': Chihuahua
  splits:
  - name: train
    num_bytes: 391917813.06122446
    num_examples: 12000
  - name: test
    num_bytes: 294652350.17877555
    num_examples: 8580
  download_size: 776331392
  dataset_size: 686570163.24
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- image-classification
language:
- en
---

# Dataset Card for "Stanford-Dogs"

This is a non-official ```Stanford-Dogs``` dataset for **fine-grained** ```Image Classification```.  

If you want to download the official dataset, please refer to the [here](http://vision.stanford.edu/aditya86/ImageNetDogs/).