maurice-fp/stanford-dogs

---
size_categories:
- 10K<n<100K
task_categories:
- image-classification
pretty_name: Stanford Dogs Dataset
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': n02085620-Chihuahua
'1': n02085782-Japanese_spaniel
'2': n02085936-Maltese_dog
'3': n02086079-Pekinese
'4': n02086240-Shih-Tzu
'5': n02086646-Blenheim_spaniel
'6': n02086910-papillon
'7': n02087046-toy_terrier
'8': n02087394-Rhodesian_ridgeback
'9': n02088094-Afghan_hound
'10': n02088238-basset
'11': n02088364-beagle
'12': n02088466-bloodhound
'13': n02088632-bluetick
'14': n02089078-black-and-tan_coonhound
'15': n02089867-Walker_hound
'16': n02089973-English_foxhound
'17': n02090379-redbone
'18': n02090622-borzoi
'19': n02090721-Irish_wolfhound
'20': n02091032-Italian_greyhound
'21': n02091134-whippet
'22': n02091244-Ibizan_hound
'23': n02091467-Norwegian_elkhound
'24': n02091635-otterhound
'25': n02091831-Saluki
'26': n02092002-Scottish_deerhound
'27': n02092339-Weimaraner
'28': n02093256-Staffordshire_bullterrier
'29': n02093428-American_Staffordshire_terrier
'30': n02093647-Bedlington_terrier
'31': n02093754-Border_terrier
'32': n02093859-Kerry_blue_terrier
'33': n02093991-Irish_terrier
'34': n02094114-Norfolk_terrier
'35': n02094258-Norwich_terrier
'36': n02094433-Yorkshire_terrier
'37': n02095314-wire-haired_fox_terrier
'38': n02095570-Lakeland_terrier
'39': n02095889-Sealyham_terrier
'40': n02096051-Airedale
'41': n02096177-cairn
'42': n02096294-Australian_terrier
'43': n02096437-Dandie_Dinmont
'44': n02096585-Boston_bull
'45': n02097047-miniature_schnauzer
'46': n02097130-giant_schnauzer
'47': n02097209-standard_schnauzer
'48': n02097298-Scotch_terrier
'49': n02097474-Tibetan_terrier
'50': n02097658-silky_terrier
'51': n02098105-soft-coated_wheaten_terrier
'52': n02098286-West_Highland_white_terrier
'53': n02098413-Lhasa
'54': n02099267-flat-coated_retriever
'55': n02099429-curly-coated_retriever
'56': n02099601-golden_retriever
'57': n02099712-Labrador_retriever
'58': n02099849-Chesapeake_Bay_retriever
'59': n02100236-German_short-haired_pointer
'60': n02100583-vizsla
'61': n02100735-English_setter
'62': n02100877-Irish_setter
'63': n02101006-Gordon_setter
'64': n02101388-Brittany_spaniel
'65': n02101556-clumber
'66': n02102040-English_springer
'67': n02102177-Welsh_springer_spaniel
'68': n02102318-cocker_spaniel
'69': n02102480-Sussex_spaniel
'70': n02102973-Irish_water_spaniel
'71': n02104029-kuvasz
'72': n02104365-schipperke
'73': n02105056-groenendael
'74': n02105162-malinois
'75': n02105251-briard
'76': n02105412-kelpie
'77': n02105505-komondor
'78': n02105641-Old_English_sheepdog
'79': n02105855-Shetland_sheepdog
'80': n02106030-collie
'81': n02106166-Border_collie
'82': n02106382-Bouvier_des_Flandres
'83': n02106550-Rottweiler
'84': n02106662-German_shepherd
'85': n02107142-Doberman
'86': n02107312-miniature_pinscher
'87': n02107574-Greater_Swiss_Mountain_dog
'88': n02107683-Bernese_mountain_dog
'89': n02107908-Appenzeller
'90': n02108000-EntleBucher
'91': n02108089-boxer
'92': n02108422-bull_mastiff
'93': n02108551-Tibetan_mastiff
'94': n02108915-French_bulldog
'95': n02109047-Great_Dane
'96': n02109525-Saint_Bernard
'97': n02109961-Eskimo_dog
'98': n02110063-malamute
'99': n02110185-Siberian_husky
'100': n02110627-affenpinscher
'101': n02110806-basenji
'102': n02110958-pug
'103': n02111129-Leonberg
'104': n02111277-Newfoundland
'105': n02111500-Great_Pyrenees
'106': n02111889-Samoyed
'107': n02112018-Pomeranian
'108': n02112137-chow
'109': n02112350-keeshond
'110': n02112706-Brabancon_griffon
'111': n02113023-Pembroke
'112': n02113186-Cardigan
'113': n02113624-toy_poodle
'114': n02113712-miniature_poodle
'115': n02113799-standard_poodle
'116': n02113978-Mexican_hairless
'117': n02115641-dingo
'118': n02115913-dhole
'119': n02116738-African_hunting_dog
splits:
- name: train
num_bytes: 391918835.0
num_examples: 12000
- name: test
num_bytes: 294299205.04
num_examples: 8580
download_size: 776428914
dataset_size: 686218040.04
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for Stanford Dogs

The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world.
This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization.
Contents of this dataset:
- Number of categories: 120
- Number of images: 20,580
- Annotations: Class labels, ~~Bounding boxes~~ (not imported to HF)

- **Website:** http://vision.stanford.edu/aditya86/ImageNetDogs/
- **Paper:** http://people.csail.mit.edu/khosla/papers/fgvc2011.pdf

## Citation

```bib
@inproceedings{KhoslaYaoJayadevaprakashFeiFei_FGVC2011,
author = "Aditya Khosla and Nityananda Jayadevaprakash and Bangpeng Yao and Li Fei-Fei",
title = "Novel Dataset for Fine-Grained Image Categorization",
booktitle = "First Workshop on Fine-Grained Visual Categorization, IEEE Conference on Computer Vision and Pattern Recognition",
year = "2011",
month = "June",
address = "Colorado Springs, CO",
}
```