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Datasets:
ARCHONG
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sun397

Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
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ARCHONG tanganke commited on
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Duplicate from tanganke/sun397

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Co-authored-by: Anke Tang <tanganke@users.noreply.huggingface.co>

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1
+ ---
2
+ language:
3
+ - en
4
+ size_categories:
5
+ - 10K<n<100K
6
+ task_categories:
7
+ - image-classification
8
+ dataset_info:
9
+ features:
10
+ - name: image
11
+ dtype: image
12
+ - name: label
13
+ dtype:
14
+ class_label:
15
+ names:
16
+ '0': abbey
17
+ '1': airplane cabin
18
+ '2': airport terminal
19
+ '3': alley
20
+ '4': amphitheater
21
+ '5': amusement arcade
22
+ '6': amusement park
23
+ '7': anechoic chamber
24
+ '8': apartment building outdoor
25
+ '9': apse indoor
26
+ '10': aquarium
27
+ '11': aqueduct
28
+ '12': arch
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+ '13': archive
30
+ '14': arrival gate outdoor
31
+ '15': art gallery
32
+ '16': art school
33
+ '17': art studio
34
+ '18': assembly line
35
+ '19': athletic field outdoor
36
+ '20': atrium public
37
+ '21': attic
38
+ '22': auditorium
39
+ '23': auto factory
40
+ '24': badlands
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+ '25': badminton court indoor
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+ '26': baggage claim
43
+ '27': bakery shop
44
+ '28': balcony exterior
45
+ '29': balcony interior
46
+ '30': ball pit
47
+ '31': ballroom
48
+ '32': bamboo forest
49
+ '33': banquet hall
50
+ '34': bar
51
+ '35': barn
52
+ '36': barndoor
53
+ '37': baseball field
54
+ '38': basement
55
+ '39': basilica
56
+ '40': basketball court outdoor
57
+ '41': bathroom
58
+ '42': batters box
59
+ '43': bayou
60
+ '44': bazaar indoor
61
+ '45': bazaar outdoor
62
+ '46': beach
63
+ '47': beauty salon
64
+ '48': bedroom
65
+ '49': berth
66
+ '50': biology laboratory
67
+ '51': bistro indoor
68
+ '52': boardwalk
69
+ '53': boat deck
70
+ '54': boathouse
71
+ '55': bookstore
72
+ '56': booth indoor
73
+ '57': botanical garden
74
+ '58': bow window indoor
75
+ '59': bow window outdoor
76
+ '60': bowling alley
77
+ '61': boxing ring
78
+ '62': brewery indoor
79
+ '63': bridge
80
+ '64': building facade
81
+ '65': bullring
82
+ '66': burial chamber
83
+ '67': bus interior
84
+ '68': butchers shop
85
+ '69': butte
86
+ '70': cabin outdoor
87
+ '71': cafeteria
88
+ '72': campsite
89
+ '73': campus
90
+ '74': canal natural
91
+ '75': canal urban
92
+ '76': candy store
93
+ '77': canyon
94
+ '78': car interior backseat
95
+ '79': car interior frontseat
96
+ '80': carrousel
97
+ '81': casino indoor
98
+ '82': castle
99
+ '83': catacomb
100
+ '84': cathedral indoor
101
+ '85': cathedral outdoor
102
+ '86': cavern indoor
103
+ '87': cemetery
104
+ '88': chalet
105
+ '89': cheese factory
106
+ '90': chemistry lab
107
+ '91': chicken coop indoor
108
+ '92': chicken coop outdoor
109
+ '93': childs room
110
+ '94': church indoor
111
+ '95': church outdoor
112
+ '96': classroom
113
+ '97': clean room
114
+ '98': cliff
115
+ '99': cloister indoor
116
+ '100': closet
117
+ '101': clothing store
118
+ '102': coast
119
+ '103': cockpit
120
+ '104': coffee shop
121
+ '105': computer room
122
+ '106': conference center
123
+ '107': conference room
124
+ '108': construction site
125
+ '109': control room
126
+ '110': control tower outdoor
127
+ '111': corn field
128
+ '112': corral
129
+ '113': corridor
130
+ '114': cottage garden
131
+ '115': courthouse
132
+ '116': courtroom
133
+ '117': courtyard
134
+ '118': covered bridge exterior
135
+ '119': creek
136
+ '120': crevasse
137
+ '121': crosswalk
138
+ '122': cubicle office
139
+ '123': dam
140
+ '124': delicatessen
141
+ '125': dentists office
142
+ '126': desert sand
143
+ '127': desert vegetation
144
+ '128': diner indoor
145
+ '129': diner outdoor
146
+ '130': dinette home
147
+ '131': dinette vehicle
148
+ '132': dining car
149
+ '133': dining room
150
+ '134': discotheque
151
+ '135': dock
152
+ '136': doorway outdoor
153
+ '137': dorm room
154
+ '138': driveway
155
+ '139': driving range outdoor
156
+ '140': drugstore
157
+ '141': electrical substation
158
+ '142': elevator door
159
+ '143': elevator interior
160
+ '144': elevator shaft
161
+ '145': engine room
162
+ '146': escalator indoor
163
+ '147': excavation
164
+ '148': factory indoor
165
+ '149': fairway
166
+ '150': fastfood restaurant
167
+ '151': field cultivated
168
+ '152': field wild
169
+ '153': fire escape
170
+ '154': fire station
171
+ '155': firing range indoor
172
+ '156': fishpond
173
+ '157': florist shop indoor
174
+ '158': food court
175
+ '159': forest broadleaf
176
+ '160': forest needleleaf
177
+ '161': forest path
178
+ '162': forest road
179
+ '163': formal garden
180
+ '164': fountain
181
+ '165': galley
182
+ '166': game room
183
+ '167': garage indoor
184
+ '168': garbage dump
185
+ '169': gas station
186
+ '170': gazebo exterior
187
+ '171': general store indoor
188
+ '172': general store outdoor
189
+ '173': gift shop
190
+ '174': golf course
191
+ '175': greenhouse indoor
192
+ '176': greenhouse outdoor
193
+ '177': gymnasium indoor
194
+ '178': hangar indoor
195
+ '179': hangar outdoor
196
+ '180': harbor
197
+ '181': hayfield
198
+ '182': heliport
199
+ '183': herb garden
200
+ '184': highway
201
+ '185': hill
202
+ '186': home office
203
+ '187': hospital
204
+ '188': hospital room
205
+ '189': hot spring
206
+ '190': hot tub outdoor
207
+ '191': hotel outdoor
208
+ '192': hotel room
209
+ '193': house
210
+ '194': hunting lodge outdoor
211
+ '195': ice cream parlor
212
+ '196': ice floe
213
+ '197': ice shelf
214
+ '198': ice skating rink indoor
215
+ '199': ice skating rink outdoor
216
+ '200': iceberg
217
+ '201': igloo
218
+ '202': industrial area
219
+ '203': inn outdoor
220
+ '204': islet
221
+ '205': jacuzzi indoor
222
+ '206': jail cell
223
+ '207': jail indoor
224
+ '208': jewelry shop
225
+ '209': kasbah
226
+ '210': kennel indoor
227
+ '211': kennel outdoor
228
+ '212': kindergarden classroom
229
+ '213': kitchen
230
+ '214': kitchenette
231
+ '215': labyrinth outdoor
232
+ '216': lake natural
233
+ '217': landfill
234
+ '218': landing deck
235
+ '219': laundromat
236
+ '220': lecture room
237
+ '221': library indoor
238
+ '222': library outdoor
239
+ '223': lido deck outdoor
240
+ '224': lift bridge
241
+ '225': lighthouse
242
+ '226': limousine interior
243
+ '227': living room
244
+ '228': lobby
245
+ '229': lock chamber
246
+ '230': locker room
247
+ '231': mansion
248
+ '232': manufactured home
249
+ '233': market indoor
250
+ '234': market outdoor
251
+ '235': marsh
252
+ '236': martial arts gym
253
+ '237': mausoleum
254
+ '238': medina
255
+ '239': moat water
256
+ '240': monastery outdoor
257
+ '241': mosque indoor
258
+ '242': mosque outdoor
259
+ '243': motel
260
+ '244': mountain
261
+ '245': mountain snowy
262
+ '246': movie theater indoor
263
+ '247': museum indoor
264
+ '248': music store
265
+ '249': music studio
266
+ '250': nuclear power plant outdoor
267
+ '251': nursery
268
+ '252': oast house
269
+ '253': observatory outdoor
270
+ '254': ocean
271
+ '255': office
272
+ '256': office building
273
+ '257': oil refinery outdoor
274
+ '258': oilrig
275
+ '259': operating room
276
+ '260': orchard
277
+ '261': outhouse outdoor
278
+ '262': pagoda
279
+ '263': palace
280
+ '264': pantry
281
+ '265': park
282
+ '266': parking garage indoor
283
+ '267': parking garage outdoor
284
+ '268': parking lot
285
+ '269': parlor
286
+ '270': pasture
287
+ '271': patio
288
+ '272': pavilion
289
+ '273': pharmacy
290
+ '274': phone booth
291
+ '275': physics laboratory
292
+ '276': picnic area
293
+ '277': pilothouse indoor
294
+ '278': planetarium outdoor
295
+ '279': playground
296
+ '280': playroom
297
+ '281': plaza
298
+ '282': podium indoor
299
+ '283': podium outdoor
300
+ '284': pond
301
+ '285': poolroom establishment
302
+ '286': poolroom home
303
+ '287': power plant outdoor
304
+ '288': promenade deck
305
+ '289': pub indoor
306
+ '290': pulpit
307
+ '291': putting green
308
+ '292': racecourse
309
+ '293': raceway
310
+ '294': raft
311
+ '295': railroad track
312
+ '296': rainforest
313
+ '297': reception
314
+ '298': recreation room
315
+ '299': residential neighborhood
316
+ '300': restaurant
317
+ '301': restaurant kitchen
318
+ '302': restaurant patio
319
+ '303': rice paddy
320
+ '304': riding arena
321
+ '305': river
322
+ '306': rock arch
323
+ '307': rope bridge
324
+ '308': ruin
325
+ '309': runway
326
+ '310': sandbar
327
+ '311': sandbox
328
+ '312': sauna
329
+ '313': schoolhouse
330
+ '314': sea cliff
331
+ '315': server room
332
+ '316': shed
333
+ '317': shoe shop
334
+ '318': shopfront
335
+ '319': shopping mall indoor
336
+ '320': shower
337
+ '321': skatepark
338
+ '322': ski lodge
339
+ '323': ski resort
340
+ '324': ski slope
341
+ '325': sky
342
+ '326': skyscraper
343
+ '327': slum
344
+ '328': snowfield
345
+ '329': squash court
346
+ '330': stable
347
+ '331': stadium baseball
348
+ '332': stadium football
349
+ '333': stage indoor
350
+ '334': staircase
351
+ '335': street
352
+ '336': subway interior
353
+ '337': subway station platform
354
+ '338': supermarket
355
+ '339': sushi bar
356
+ '340': swamp
357
+ '341': swimming pool indoor
358
+ '342': swimming pool outdoor
359
+ '343': synagogue indoor
360
+ '344': synagogue outdoor
361
+ '345': television studio
362
+ '346': temple east asia
363
+ '347': temple south asia
364
+ '348': tennis court indoor
365
+ '349': tennis court outdoor
366
+ '350': tent outdoor
367
+ '351': theater indoor procenium
368
+ '352': theater indoor seats
369
+ '353': thriftshop
370
+ '354': throne room
371
+ '355': ticket booth
372
+ '356': toll plaza
373
+ '357': topiary garden
374
+ '358': tower
375
+ '359': toyshop
376
+ '360': track outdoor
377
+ '361': train railway
378
+ '362': train station platform
379
+ '363': tree farm
380
+ '364': tree house
381
+ '365': trench
382
+ '366': underwater coral reef
383
+ '367': utility room
384
+ '368': valley
385
+ '369': van interior
386
+ '370': vegetable garden
387
+ '371': veranda
388
+ '372': veterinarians office
389
+ '373': viaduct
390
+ '374': videostore
391
+ '375': village
392
+ '376': vineyard
393
+ '377': volcano
394
+ '378': volleyball court indoor
395
+ '379': volleyball court outdoor
396
+ '380': waiting room
397
+ '381': warehouse indoor
398
+ '382': water tower
399
+ '383': waterfall block
400
+ '384': waterfall fan
401
+ '385': waterfall plunge
402
+ '386': watering hole
403
+ '387': wave
404
+ '388': wet bar
405
+ '389': wheat field
406
+ '390': wind farm
407
+ '391': windmill
408
+ '392': wine cellar barrel storage
409
+ '393': wine cellar bottle storage
410
+ '394': wrestling ring indoor
411
+ '395': yard
412
+ '396': youth hostel
413
+ splits:
414
+ - name: train
415
+ num_bytes: 8834961188.3
416
+ num_examples: 19850
417
+ - name: test
418
+ num_bytes: 8610045383.95
419
+ num_examples: 19850
420
+ download_size: 14498373101
421
+ dataset_size: 17445006572.25
422
+ configs:
423
+ - config_name: default
424
+ data_files:
425
+ - split: train
426
+ path: data/train-*
427
+ - split: test
428
+ path: data/test-*
429
+ ---
430
+
431
+
432
+ # SUN397 dataset
433
+
434
+ The database contains 397 categories subset from the SUN dataset for Scene Recognition used in the following paper.
435
+ The number of images varies across categories, but there are at least 100 images per category, and 108,754 images in total.
436
+ All images are in jpg format. The images provided here are for research purposes only.
437
+
438
+ The file ClassName.txt contains the name list for the 397 categories.
439
+
440
+ Please cite the following paper if you use this dataset in your research.
441
+
442
+ J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba.
443
+ SUN Database: Large-scale Scene Recognition from Abbey to Zoo.
444
+ Proceedings of 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010).
445
+
446
+ Please visit our project webpage for more information:
447
+ http://groups.csail.mit.edu/vision/SUN/
448
+
449
+
450
+ ## Usage
451
+
452
+ ```python
453
+ from datasets import load_dataset
454
+
455
+ dataset = load_dataset('tanganke/sun397')
456
+ ```
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