| --- |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - image-classification |
| 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: 8834961188.3 |
| num_examples: 19850 |
| - name: test |
| num_bytes: 8610045383.95 |
| num_examples: 19850 |
| download_size: 14498373101 |
| dataset_size: 17445006572.25 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| --- |
| |
|
|
| # 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') |
| ``` |
