|
--- |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: label |
|
dtype: |
|
class_label: |
|
names: |
|
'0': abbey |
|
'1': airplane cabin |
|
'2': airport terminal |
|
'3': alley |
|
'4': amphitheater |
|
'5': amusement arcade |
|
'6': amusement park |
|
'7': anechoic chamber |
|
'8': apartment building outdoor |
|
'9': apse indoor |
|
'10': aquarium |
|
'11': aqueduct |
|
'12': arch |
|
'13': archive |
|
'14': arrival gate outdoor |
|
'15': art gallery |
|
'16': art school |
|
'17': art studio |
|
'18': assembly line |
|
'19': athletic field outdoor |
|
'20': atrium public |
|
'21': attic |
|
'22': auditorium |
|
'23': auto factory |
|
'24': badlands |
|
'25': badminton court indoor |
|
'26': baggage claim |
|
'27': bakery shop |
|
'28': balcony exterior |
|
'29': balcony interior |
|
'30': ball pit |
|
'31': ballroom |
|
'32': bamboo forest |
|
'33': banquet hall |
|
'34': bar |
|
'35': barn |
|
'36': barndoor |
|
'37': baseball field |
|
'38': basement |
|
'39': basilica |
|
'40': basketball court outdoor |
|
'41': bathroom |
|
'42': batters box |
|
'43': bayou |
|
'44': bazaar indoor |
|
'45': bazaar outdoor |
|
'46': beach |
|
'47': beauty salon |
|
'48': bedroom |
|
'49': berth |
|
'50': biology laboratory |
|
'51': bistro indoor |
|
'52': boardwalk |
|
'53': boat deck |
|
'54': boathouse |
|
'55': bookstore |
|
'56': booth indoor |
|
'57': botanical garden |
|
'58': bow window indoor |
|
'59': bow window outdoor |
|
'60': bowling alley |
|
'61': boxing ring |
|
'62': brewery indoor |
|
'63': bridge |
|
'64': building facade |
|
'65': bullring |
|
'66': burial chamber |
|
'67': bus interior |
|
'68': butchers shop |
|
'69': butte |
|
'70': cabin outdoor |
|
'71': cafeteria |
|
'72': campsite |
|
'73': campus |
|
'74': canal natural |
|
'75': canal urban |
|
'76': candy store |
|
'77': canyon |
|
'78': car interior backseat |
|
'79': car interior frontseat |
|
'80': carrousel |
|
'81': casino indoor |
|
'82': castle |
|
'83': catacomb |
|
'84': cathedral indoor |
|
'85': cathedral outdoor |
|
'86': cavern indoor |
|
'87': cemetery |
|
'88': chalet |
|
'89': cheese factory |
|
'90': chemistry lab |
|
'91': chicken coop indoor |
|
'92': chicken coop outdoor |
|
'93': childs room |
|
'94': church indoor |
|
'95': church outdoor |
|
'96': classroom |
|
'97': clean room |
|
'98': cliff |
|
'99': cloister indoor |
|
'100': closet |
|
'101': clothing store |
|
'102': coast |
|
'103': cockpit |
|
'104': coffee shop |
|
'105': computer room |
|
'106': conference center |
|
'107': conference room |
|
'108': construction site |
|
'109': control room |
|
'110': control tower outdoor |
|
'111': corn field |
|
'112': corral |
|
'113': corridor |
|
'114': cottage garden |
|
'115': courthouse |
|
'116': courtroom |
|
'117': courtyard |
|
'118': covered bridge exterior |
|
'119': creek |
|
'120': crevasse |
|
'121': crosswalk |
|
'122': cubicle office |
|
'123': dam |
|
'124': delicatessen |
|
'125': dentists office |
|
'126': desert sand |
|
'127': desert vegetation |
|
'128': diner indoor |
|
'129': diner outdoor |
|
'130': dinette home |
|
'131': dinette vehicle |
|
'132': dining car |
|
'133': dining room |
|
'134': discotheque |
|
'135': dock |
|
'136': doorway outdoor |
|
'137': dorm room |
|
'138': driveway |
|
'139': driving range outdoor |
|
'140': drugstore |
|
'141': electrical substation |
|
'142': elevator door |
|
'143': elevator interior |
|
'144': elevator shaft |
|
'145': engine room |
|
'146': escalator indoor |
|
'147': excavation |
|
'148': factory indoor |
|
'149': fairway |
|
'150': fastfood restaurant |
|
'151': field cultivated |
|
'152': field wild |
|
'153': fire escape |
|
'154': fire station |
|
'155': firing range indoor |
|
'156': fishpond |
|
'157': florist shop indoor |
|
'158': food court |
|
'159': forest broadleaf |
|
'160': forest needleleaf |
|
'161': forest path |
|
'162': forest road |
|
'163': formal garden |
|
'164': fountain |
|
'165': galley |
|
'166': game room |
|
'167': garage indoor |
|
'168': garbage dump |
|
'169': gas station |
|
'170': gazebo exterior |
|
'171': general store indoor |
|
'172': general store outdoor |
|
'173': gift shop |
|
'174': golf course |
|
'175': greenhouse indoor |
|
'176': greenhouse outdoor |
|
'177': gymnasium indoor |
|
'178': hangar indoor |
|
'179': hangar outdoor |
|
'180': harbor |
|
'181': hayfield |
|
'182': heliport |
|
'183': herb garden |
|
'184': highway |
|
'185': hill |
|
'186': home office |
|
'187': hospital |
|
'188': hospital room |
|
'189': hot spring |
|
'190': hot tub outdoor |
|
'191': hotel outdoor |
|
'192': hotel room |
|
'193': house |
|
'194': hunting lodge outdoor |
|
'195': ice cream parlor |
|
'196': ice floe |
|
'197': ice shelf |
|
'198': ice skating rink indoor |
|
'199': ice skating rink outdoor |
|
'200': iceberg |
|
'201': igloo |
|
'202': industrial area |
|
'203': inn outdoor |
|
'204': islet |
|
'205': jacuzzi indoor |
|
'206': jail cell |
|
'207': jail indoor |
|
'208': jewelry shop |
|
'209': kasbah |
|
'210': kennel indoor |
|
'211': kennel outdoor |
|
'212': kindergarden classroom |
|
'213': kitchen |
|
'214': kitchenette |
|
'215': labyrinth outdoor |
|
'216': lake natural |
|
'217': landfill |
|
'218': landing deck |
|
'219': laundromat |
|
'220': lecture room |
|
'221': library indoor |
|
'222': library outdoor |
|
'223': lido deck outdoor |
|
'224': lift bridge |
|
'225': lighthouse |
|
'226': limousine interior |
|
'227': living room |
|
'228': lobby |
|
'229': lock chamber |
|
'230': locker room |
|
'231': mansion |
|
'232': manufactured home |
|
'233': market indoor |
|
'234': market outdoor |
|
'235': marsh |
|
'236': martial arts gym |
|
'237': mausoleum |
|
'238': medina |
|
'239': moat water |
|
'240': monastery outdoor |
|
'241': mosque indoor |
|
'242': mosque outdoor |
|
'243': motel |
|
'244': mountain |
|
'245': mountain snowy |
|
'246': movie theater indoor |
|
'247': museum indoor |
|
'248': music store |
|
'249': music studio |
|
'250': nuclear power plant outdoor |
|
'251': nursery |
|
'252': oast house |
|
'253': observatory outdoor |
|
'254': ocean |
|
'255': office |
|
'256': office building |
|
'257': oil refinery outdoor |
|
'258': oilrig |
|
'259': operating room |
|
'260': orchard |
|
'261': outhouse outdoor |
|
'262': pagoda |
|
'263': palace |
|
'264': pantry |
|
'265': park |
|
'266': parking garage indoor |
|
'267': parking garage outdoor |
|
'268': parking lot |
|
'269': parlor |
|
'270': pasture |
|
'271': patio |
|
'272': pavilion |
|
'273': pharmacy |
|
'274': phone booth |
|
'275': physics laboratory |
|
'276': picnic area |
|
'277': pilothouse indoor |
|
'278': planetarium outdoor |
|
'279': playground |
|
'280': playroom |
|
'281': plaza |
|
'282': podium indoor |
|
'283': podium outdoor |
|
'284': pond |
|
'285': poolroom establishment |
|
'286': poolroom home |
|
'287': power plant outdoor |
|
'288': promenade deck |
|
'289': pub indoor |
|
'290': pulpit |
|
'291': putting green |
|
'292': racecourse |
|
'293': raceway |
|
'294': raft |
|
'295': railroad track |
|
'296': rainforest |
|
'297': reception |
|
'298': recreation room |
|
'299': residential neighborhood |
|
'300': restaurant |
|
'301': restaurant kitchen |
|
'302': restaurant patio |
|
'303': rice paddy |
|
'304': riding arena |
|
'305': river |
|
'306': rock arch |
|
'307': rope bridge |
|
'308': ruin |
|
'309': runway |
|
'310': sandbar |
|
'311': sandbox |
|
'312': sauna |
|
'313': schoolhouse |
|
'314': sea cliff |
|
'315': server room |
|
'316': shed |
|
'317': shoe shop |
|
'318': shopfront |
|
'319': shopping mall indoor |
|
'320': shower |
|
'321': skatepark |
|
'322': ski lodge |
|
'323': ski resort |
|
'324': ski slope |
|
'325': sky |
|
'326': skyscraper |
|
'327': slum |
|
'328': snowfield |
|
'329': squash court |
|
'330': stable |
|
'331': stadium baseball |
|
'332': stadium football |
|
'333': stage indoor |
|
'334': staircase |
|
'335': street |
|
'336': subway interior |
|
'337': subway station platform |
|
'338': supermarket |
|
'339': sushi bar |
|
'340': swamp |
|
'341': swimming pool indoor |
|
'342': swimming pool outdoor |
|
'343': synagogue indoor |
|
'344': synagogue outdoor |
|
'345': television studio |
|
'346': temple east asia |
|
'347': temple south asia |
|
'348': tennis court indoor |
|
'349': tennis court outdoor |
|
'350': tent outdoor |
|
'351': theater indoor procenium |
|
'352': theater indoor seats |
|
'353': thriftshop |
|
'354': throne room |
|
'355': ticket booth |
|
'356': toll plaza |
|
'357': topiary garden |
|
'358': tower |
|
'359': toyshop |
|
'360': track outdoor |
|
'361': train railway |
|
'362': train station platform |
|
'363': tree farm |
|
'364': tree house |
|
'365': trench |
|
'366': underwater coral reef |
|
'367': utility room |
|
'368': valley |
|
'369': van interior |
|
'370': vegetable garden |
|
'371': veranda |
|
'372': veterinarians office |
|
'373': viaduct |
|
'374': videostore |
|
'375': village |
|
'376': vineyard |
|
'377': volcano |
|
'378': volleyball court indoor |
|
'379': volleyball court outdoor |
|
'380': waiting room |
|
'381': warehouse indoor |
|
'382': water tower |
|
'383': waterfall block |
|
'384': waterfall fan |
|
'385': waterfall plunge |
|
'386': watering hole |
|
'387': wave |
|
'388': wet bar |
|
'389': wheat field |
|
'390': wind farm |
|
'391': windmill |
|
'392': wine cellar barrel storage |
|
'393': wine cellar bottle storage |
|
'394': wrestling ring indoor |
|
'395': yard |
|
'396': youth hostel |
|
splits: |
|
- name: train |
|
num_bytes: 2597332 |
|
num_examples: 19850 |
|
- name: test |
|
num_bytes: 2557632 |
|
num_examples: 19850 |
|
download_size: 14342875038 |
|
dataset_size: 5154964 |
|
task_categories: |
|
- image-classification |
|
language: |
|
- en |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
|
|
|
|
# SUN397 dataset |
|
|
|
The database contains 397 categories subset from the SUN dataset for Scene Recognition used in the following paper. |
|
The number of images varies across categories, but there are at least 100 images per category, and 108,754 images in total. |
|
All images are in jpg format. The images provided here are for research purposes only. |
|
|
|
The file ClassName.txt contains the name list for the 397 categories. |
|
|
|
Please cite the following paper if you use this dataset in your research. |
|
|
|
J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. |
|
SUN Database: Large-scale Scene Recognition from Abbey to Zoo. |
|
Proceedings of 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010). |
|
|
|
Please visit our project webpage for more information: |
|
http://groups.csail.mit.edu/vision/SUN/ |
|
|
|
|
|
## Usage |
|
|
|
```python |
|
from datasets import load_dataset |
|
|
|
dataset = load_dataset('tanganke/sun397') |
|
``` |
