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Browse files- README.md +444 -0
- data/test.zip +3 -0
- data/train.zip +3 -0
- sun397.py +438 -0
README.md
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| 1 |
+
---
|
| 2 |
+
dataset_info:
|
| 3 |
+
features:
|
| 4 |
+
- name: image
|
| 5 |
+
dtype: image
|
| 6 |
+
- name: label
|
| 7 |
+
dtype:
|
| 8 |
+
class_label:
|
| 9 |
+
names:
|
| 10 |
+
'0': abbey
|
| 11 |
+
'1': airplane cabin
|
| 12 |
+
'2': airport terminal
|
| 13 |
+
'3': alley
|
| 14 |
+
'4': amphitheater
|
| 15 |
+
'5': amusement arcade
|
| 16 |
+
'6': amusement park
|
| 17 |
+
'7': anechoic chamber
|
| 18 |
+
'8': apartment building outdoor
|
| 19 |
+
'9': apse indoor
|
| 20 |
+
'10': aquarium
|
| 21 |
+
'11': aqueduct
|
| 22 |
+
'12': arch
|
| 23 |
+
'13': archive
|
| 24 |
+
'14': arrival gate outdoor
|
| 25 |
+
'15': art gallery
|
| 26 |
+
'16': art school
|
| 27 |
+
'17': art studio
|
| 28 |
+
'18': assembly line
|
| 29 |
+
'19': athletic field outdoor
|
| 30 |
+
'20': atrium public
|
| 31 |
+
'21': attic
|
| 32 |
+
'22': auditorium
|
| 33 |
+
'23': auto factory
|
| 34 |
+
'24': badlands
|
| 35 |
+
'25': badminton court indoor
|
| 36 |
+
'26': baggage claim
|
| 37 |
+
'27': bakery shop
|
| 38 |
+
'28': balcony exterior
|
| 39 |
+
'29': balcony interior
|
| 40 |
+
'30': ball pit
|
| 41 |
+
'31': ballroom
|
| 42 |
+
'32': bamboo forest
|
| 43 |
+
'33': banquet hall
|
| 44 |
+
'34': bar
|
| 45 |
+
'35': barn
|
| 46 |
+
'36': barndoor
|
| 47 |
+
'37': baseball field
|
| 48 |
+
'38': basement
|
| 49 |
+
'39': basilica
|
| 50 |
+
'40': basketball court outdoor
|
| 51 |
+
'41': bathroom
|
| 52 |
+
'42': batters box
|
| 53 |
+
'43': bayou
|
| 54 |
+
'44': bazaar indoor
|
| 55 |
+
'45': bazaar outdoor
|
| 56 |
+
'46': beach
|
| 57 |
+
'47': beauty salon
|
| 58 |
+
'48': bedroom
|
| 59 |
+
'49': berth
|
| 60 |
+
'50': biology laboratory
|
| 61 |
+
'51': bistro indoor
|
| 62 |
+
'52': boardwalk
|
| 63 |
+
'53': boat deck
|
| 64 |
+
'54': boathouse
|
| 65 |
+
'55': bookstore
|
| 66 |
+
'56': booth indoor
|
| 67 |
+
'57': botanical garden
|
| 68 |
+
'58': bow window indoor
|
| 69 |
+
'59': bow window outdoor
|
| 70 |
+
'60': bowling alley
|
| 71 |
+
'61': boxing ring
|
| 72 |
+
'62': brewery indoor
|
| 73 |
+
'63': bridge
|
| 74 |
+
'64': building facade
|
| 75 |
+
'65': bullring
|
| 76 |
+
'66': burial chamber
|
| 77 |
+
'67': bus interior
|
| 78 |
+
'68': butchers shop
|
| 79 |
+
'69': butte
|
| 80 |
+
'70': cabin outdoor
|
| 81 |
+
'71': cafeteria
|
| 82 |
+
'72': campsite
|
| 83 |
+
'73': campus
|
| 84 |
+
'74': canal natural
|
| 85 |
+
'75': canal urban
|
| 86 |
+
'76': candy store
|
| 87 |
+
'77': canyon
|
| 88 |
+
'78': car interior backseat
|
| 89 |
+
'79': car interior frontseat
|
| 90 |
+
'80': carrousel
|
| 91 |
+
'81': casino indoor
|
| 92 |
+
'82': castle
|
| 93 |
+
'83': catacomb
|
| 94 |
+
'84': cathedral indoor
|
| 95 |
+
'85': cathedral outdoor
|
| 96 |
+
'86': cavern indoor
|
| 97 |
+
'87': cemetery
|
| 98 |
+
'88': chalet
|
| 99 |
+
'89': cheese factory
|
| 100 |
+
'90': chemistry lab
|
| 101 |
+
'91': chicken coop indoor
|
| 102 |
+
'92': chicken coop outdoor
|
| 103 |
+
'93': childs room
|
| 104 |
+
'94': church indoor
|
| 105 |
+
'95': church outdoor
|
| 106 |
+
'96': classroom
|
| 107 |
+
'97': clean room
|
| 108 |
+
'98': cliff
|
| 109 |
+
'99': cloister indoor
|
| 110 |
+
'100': closet
|
| 111 |
+
'101': clothing store
|
| 112 |
+
'102': coast
|
| 113 |
+
'103': cockpit
|
| 114 |
+
'104': coffee shop
|
| 115 |
+
'105': computer room
|
| 116 |
+
'106': conference center
|
| 117 |
+
'107': conference room
|
| 118 |
+
'108': construction site
|
| 119 |
+
'109': control room
|
| 120 |
+
'110': control tower outdoor
|
| 121 |
+
'111': corn field
|
| 122 |
+
'112': corral
|
| 123 |
+
'113': corridor
|
| 124 |
+
'114': cottage garden
|
| 125 |
+
'115': courthouse
|
| 126 |
+
'116': courtroom
|
| 127 |
+
'117': courtyard
|
| 128 |
+
'118': covered bridge exterior
|
| 129 |
+
'119': creek
|
| 130 |
+
'120': crevasse
|
| 131 |
+
'121': crosswalk
|
| 132 |
+
'122': cubicle office
|
| 133 |
+
'123': dam
|
| 134 |
+
'124': delicatessen
|
| 135 |
+
'125': dentists office
|
| 136 |
+
'126': desert sand
|
| 137 |
+
'127': desert vegetation
|
| 138 |
+
'128': diner indoor
|
| 139 |
+
'129': diner outdoor
|
| 140 |
+
'130': dinette home
|
| 141 |
+
'131': dinette vehicle
|
| 142 |
+
'132': dining car
|
| 143 |
+
'133': dining room
|
| 144 |
+
'134': discotheque
|
| 145 |
+
'135': dock
|
| 146 |
+
'136': doorway outdoor
|
| 147 |
+
'137': dorm room
|
| 148 |
+
'138': driveway
|
| 149 |
+
'139': driving range outdoor
|
| 150 |
+
'140': drugstore
|
| 151 |
+
'141': electrical substation
|
| 152 |
+
'142': elevator door
|
| 153 |
+
'143': elevator interior
|
| 154 |
+
'144': elevator shaft
|
| 155 |
+
'145': engine room
|
| 156 |
+
'146': escalator indoor
|
| 157 |
+
'147': excavation
|
| 158 |
+
'148': factory indoor
|
| 159 |
+
'149': fairway
|
| 160 |
+
'150': fastfood restaurant
|
| 161 |
+
'151': field cultivated
|
| 162 |
+
'152': field wild
|
| 163 |
+
'153': fire escape
|
| 164 |
+
'154': fire station
|
| 165 |
+
'155': firing range indoor
|
| 166 |
+
'156': fishpond
|
| 167 |
+
'157': florist shop indoor
|
| 168 |
+
'158': food court
|
| 169 |
+
'159': forest broadleaf
|
| 170 |
+
'160': forest needleleaf
|
| 171 |
+
'161': forest path
|
| 172 |
+
'162': forest road
|
| 173 |
+
'163': formal garden
|
| 174 |
+
'164': fountain
|
| 175 |
+
'165': galley
|
| 176 |
+
'166': game room
|
| 177 |
+
'167': garage indoor
|
| 178 |
+
'168': garbage dump
|
| 179 |
+
'169': gas station
|
| 180 |
+
'170': gazebo exterior
|
| 181 |
+
'171': general store indoor
|
| 182 |
+
'172': general store outdoor
|
| 183 |
+
'173': gift shop
|
| 184 |
+
'174': golf course
|
| 185 |
+
'175': greenhouse indoor
|
| 186 |
+
'176': greenhouse outdoor
|
| 187 |
+
'177': gymnasium indoor
|
| 188 |
+
'178': hangar indoor
|
| 189 |
+
'179': hangar outdoor
|
| 190 |
+
'180': harbor
|
| 191 |
+
'181': hayfield
|
| 192 |
+
'182': heliport
|
| 193 |
+
'183': herb garden
|
| 194 |
+
'184': highway
|
| 195 |
+
'185': hill
|
| 196 |
+
'186': home office
|
| 197 |
+
'187': hospital
|
| 198 |
+
'188': hospital room
|
| 199 |
+
'189': hot spring
|
| 200 |
+
'190': hot tub outdoor
|
| 201 |
+
'191': hotel outdoor
|
| 202 |
+
'192': hotel room
|
| 203 |
+
'193': house
|
| 204 |
+
'194': hunting lodge outdoor
|
| 205 |
+
'195': ice cream parlor
|
| 206 |
+
'196': ice floe
|
| 207 |
+
'197': ice shelf
|
| 208 |
+
'198': ice skating rink indoor
|
| 209 |
+
'199': ice skating rink outdoor
|
| 210 |
+
'200': iceberg
|
| 211 |
+
'201': igloo
|
| 212 |
+
'202': industrial area
|
| 213 |
+
'203': inn outdoor
|
| 214 |
+
'204': islet
|
| 215 |
+
'205': jacuzzi indoor
|
| 216 |
+
'206': jail cell
|
| 217 |
+
'207': jail indoor
|
| 218 |
+
'208': jewelry shop
|
| 219 |
+
'209': kasbah
|
| 220 |
+
'210': kennel indoor
|
| 221 |
+
'211': kennel outdoor
|
| 222 |
+
'212': kindergarden classroom
|
| 223 |
+
'213': kitchen
|
| 224 |
+
'214': kitchenette
|
| 225 |
+
'215': labyrinth outdoor
|
| 226 |
+
'216': lake natural
|
| 227 |
+
'217': landfill
|
| 228 |
+
'218': landing deck
|
| 229 |
+
'219': laundromat
|
| 230 |
+
'220': lecture room
|
| 231 |
+
'221': library indoor
|
| 232 |
+
'222': library outdoor
|
| 233 |
+
'223': lido deck outdoor
|
| 234 |
+
'224': lift bridge
|
| 235 |
+
'225': lighthouse
|
| 236 |
+
'226': limousine interior
|
| 237 |
+
'227': living room
|
| 238 |
+
'228': lobby
|
| 239 |
+
'229': lock chamber
|
| 240 |
+
'230': locker room
|
| 241 |
+
'231': mansion
|
| 242 |
+
'232': manufactured home
|
| 243 |
+
'233': market indoor
|
| 244 |
+
'234': market outdoor
|
| 245 |
+
'235': marsh
|
| 246 |
+
'236': martial arts gym
|
| 247 |
+
'237': mausoleum
|
| 248 |
+
'238': medina
|
| 249 |
+
'239': moat water
|
| 250 |
+
'240': monastery outdoor
|
| 251 |
+
'241': mosque indoor
|
| 252 |
+
'242': mosque outdoor
|
| 253 |
+
'243': motel
|
| 254 |
+
'244': mountain
|
| 255 |
+
'245': mountain snowy
|
| 256 |
+
'246': movie theater indoor
|
| 257 |
+
'247': museum indoor
|
| 258 |
+
'248': music store
|
| 259 |
+
'249': music studio
|
| 260 |
+
'250': nuclear power plant outdoor
|
| 261 |
+
'251': nursery
|
| 262 |
+
'252': oast house
|
| 263 |
+
'253': observatory outdoor
|
| 264 |
+
'254': ocean
|
| 265 |
+
'255': office
|
| 266 |
+
'256': office building
|
| 267 |
+
'257': oil refinery outdoor
|
| 268 |
+
'258': oilrig
|
| 269 |
+
'259': operating room
|
| 270 |
+
'260': orchard
|
| 271 |
+
'261': outhouse outdoor
|
| 272 |
+
'262': pagoda
|
| 273 |
+
'263': palace
|
| 274 |
+
'264': pantry
|
| 275 |
+
'265': park
|
| 276 |
+
'266': parking garage indoor
|
| 277 |
+
'267': parking garage outdoor
|
| 278 |
+
'268': parking lot
|
| 279 |
+
'269': parlor
|
| 280 |
+
'270': pasture
|
| 281 |
+
'271': patio
|
| 282 |
+
'272': pavilion
|
| 283 |
+
'273': pharmacy
|
| 284 |
+
'274': phone booth
|
| 285 |
+
'275': physics laboratory
|
| 286 |
+
'276': picnic area
|
| 287 |
+
'277': pilothouse indoor
|
| 288 |
+
'278': planetarium outdoor
|
| 289 |
+
'279': playground
|
| 290 |
+
'280': playroom
|
| 291 |
+
'281': plaza
|
| 292 |
+
'282': podium indoor
|
| 293 |
+
'283': podium outdoor
|
| 294 |
+
'284': pond
|
| 295 |
+
'285': poolroom establishment
|
| 296 |
+
'286': poolroom home
|
| 297 |
+
'287': power plant outdoor
|
| 298 |
+
'288': promenade deck
|
| 299 |
+
'289': pub indoor
|
| 300 |
+
'290': pulpit
|
| 301 |
+
'291': putting green
|
| 302 |
+
'292': racecourse
|
| 303 |
+
'293': raceway
|
| 304 |
+
'294': raft
|
| 305 |
+
'295': railroad track
|
| 306 |
+
'296': rainforest
|
| 307 |
+
'297': reception
|
| 308 |
+
'298': recreation room
|
| 309 |
+
'299': residential neighborhood
|
| 310 |
+
'300': restaurant
|
| 311 |
+
'301': restaurant kitchen
|
| 312 |
+
'302': restaurant patio
|
| 313 |
+
'303': rice paddy
|
| 314 |
+
'304': riding arena
|
| 315 |
+
'305': river
|
| 316 |
+
'306': rock arch
|
| 317 |
+
'307': rope bridge
|
| 318 |
+
'308': ruin
|
| 319 |
+
'309': runway
|
| 320 |
+
'310': sandbar
|
| 321 |
+
'311': sandbox
|
| 322 |
+
'312': sauna
|
| 323 |
+
'313': schoolhouse
|
| 324 |
+
'314': sea cliff
|
| 325 |
+
'315': server room
|
| 326 |
+
'316': shed
|
| 327 |
+
'317': shoe shop
|
| 328 |
+
'318': shopfront
|
| 329 |
+
'319': shopping mall indoor
|
| 330 |
+
'320': shower
|
| 331 |
+
'321': skatepark
|
| 332 |
+
'322': ski lodge
|
| 333 |
+
'323': ski resort
|
| 334 |
+
'324': ski slope
|
| 335 |
+
'325': sky
|
| 336 |
+
'326': skyscraper
|
| 337 |
+
'327': slum
|
| 338 |
+
'328': snowfield
|
| 339 |
+
'329': squash court
|
| 340 |
+
'330': stable
|
| 341 |
+
'331': stadium baseball
|
| 342 |
+
'332': stadium football
|
| 343 |
+
'333': stage indoor
|
| 344 |
+
'334': staircase
|
| 345 |
+
'335': street
|
| 346 |
+
'336': subway interior
|
| 347 |
+
'337': subway station platform
|
| 348 |
+
'338': supermarket
|
| 349 |
+
'339': sushi bar
|
| 350 |
+
'340': swamp
|
| 351 |
+
'341': swimming pool indoor
|
| 352 |
+
'342': swimming pool outdoor
|
| 353 |
+
'343': synagogue indoor
|
| 354 |
+
'344': synagogue outdoor
|
| 355 |
+
'345': television studio
|
| 356 |
+
'346': temple east asia
|
| 357 |
+
'347': temple south asia
|
| 358 |
+
'348': tennis court indoor
|
| 359 |
+
'349': tennis court outdoor
|
| 360 |
+
'350': tent outdoor
|
| 361 |
+
'351': theater indoor procenium
|
| 362 |
+
'352': theater indoor seats
|
| 363 |
+
'353': thriftshop
|
| 364 |
+
'354': throne room
|
| 365 |
+
'355': ticket booth
|
| 366 |
+
'356': toll plaza
|
| 367 |
+
'357': topiary garden
|
| 368 |
+
'358': tower
|
| 369 |
+
'359': toyshop
|
| 370 |
+
'360': track outdoor
|
| 371 |
+
'361': train railway
|
| 372 |
+
'362': train station platform
|
| 373 |
+
'363': tree farm
|
| 374 |
+
'364': tree house
|
| 375 |
+
'365': trench
|
| 376 |
+
'366': underwater coral reef
|
| 377 |
+
'367': utility room
|
| 378 |
+
'368': valley
|
| 379 |
+
'369': van interior
|
| 380 |
+
'370': vegetable garden
|
| 381 |
+
'371': veranda
|
| 382 |
+
'372': veterinarians office
|
| 383 |
+
'373': viaduct
|
| 384 |
+
'374': videostore
|
| 385 |
+
'375': village
|
| 386 |
+
'376': vineyard
|
| 387 |
+
'377': volcano
|
| 388 |
+
'378': volleyball court indoor
|
| 389 |
+
'379': volleyball court outdoor
|
| 390 |
+
'380': waiting room
|
| 391 |
+
'381': warehouse indoor
|
| 392 |
+
'382': water tower
|
| 393 |
+
'383': waterfall block
|
| 394 |
+
'384': waterfall fan
|
| 395 |
+
'385': waterfall plunge
|
| 396 |
+
'386': watering hole
|
| 397 |
+
'387': wave
|
| 398 |
+
'388': wet bar
|
| 399 |
+
'389': wheat field
|
| 400 |
+
'390': wind farm
|
| 401 |
+
'391': windmill
|
| 402 |
+
'392': wine cellar barrel storage
|
| 403 |
+
'393': wine cellar bottle storage
|
| 404 |
+
'394': wrestling ring indoor
|
| 405 |
+
'395': yard
|
| 406 |
+
'396': youth hostel
|
| 407 |
+
splits:
|
| 408 |
+
- name: train
|
| 409 |
+
num_bytes: 2597332
|
| 410 |
+
num_examples: 19850
|
| 411 |
+
- name: test
|
| 412 |
+
num_bytes: 2557632
|
| 413 |
+
num_examples: 19850
|
| 414 |
+
download_size: 14342875038
|
| 415 |
+
dataset_size: 5154964
|
| 416 |
+
---
|
| 417 |
+
|
| 418 |
+
|
| 419 |
+
# SUN397 dataset
|
| 420 |
+
|
| 421 |
+
The database contains 397 categories subset from the SUN dataset for Scene Recognition used in the following paper.
|
| 422 |
+
The number of images varies across categories, but there are at least 100 images per category, and 108,754 images in total.
|
| 423 |
+
All images are in jpg format. The images provided here are for research purposes only.
|
| 424 |
+
|
| 425 |
+
The file ClassName.txt contains the name list for the 397 categories.
|
| 426 |
+
|
| 427 |
+
Please cite the following paper if you use this dataset in your research.
|
| 428 |
+
|
| 429 |
+
J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba.
|
| 430 |
+
SUN Database: Large-scale Scene Recognition from Abbey to Zoo.
|
| 431 |
+
Proceedings of 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010).
|
| 432 |
+
|
| 433 |
+
Please visit our project webpage for more information:
|
| 434 |
+
http://groups.csail.mit.edu/vision/SUN/
|
| 435 |
+
|
| 436 |
+
|
| 437 |
+
## Usage
|
| 438 |
+
|
| 439 |
+
```python
|
| 440 |
+
from datasets import load_dataset
|
| 441 |
+
|
| 442 |
+
dataset = load_dataset('tanganke/sun397')
|
| 443 |
+
```
|
| 444 |
+
|
data/test.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a9cd27961918172a4245bfaed70a4239dc80fcd33425d109cc3e4da912178bd
|
| 3 |
+
size 7143245981
|
data/train.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9bc8179ecaa9b944a3c8ea9b3080014edd2c8245fc7b21581b156e728e3b4f31
|
| 3 |
+
size 7199629057
|
sun397.py
ADDED
|
@@ -0,0 +1,438 @@
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| 1 |
+
import datasets
|
| 2 |
+
from datasets.data_files import DataFilesDict
|
| 3 |
+
from datasets.packaged_modules.imagefolder.imagefolder import ImageFolder, ImageFolderConfig
|
| 4 |
+
|
| 5 |
+
logger = datasets.logging.get_logger(__name__)
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
class SUN397(ImageFolder):
|
| 9 |
+
R"""
|
| 10 |
+
SUN397 dataset for image classification.
|
| 11 |
+
"""
|
| 12 |
+
|
| 13 |
+
BUILDER_CONFIG_CLASS = ImageFolderConfig
|
| 14 |
+
BUILDER_CONFIGS = [
|
| 15 |
+
ImageFolderConfig(
|
| 16 |
+
name="default",
|
| 17 |
+
features=("images", "labels"),
|
| 18 |
+
data_files=DataFilesDict({split: f"data/{split}.zip" for split in ["train", "test"]}),
|
| 19 |
+
)
|
| 20 |
+
]
|
| 21 |
+
|
| 22 |
+
classnames = [
|
| 23 |
+
"abbey",
|
| 24 |
+
"airplane cabin",
|
| 25 |
+
"airport terminal",
|
| 26 |
+
"alley",
|
| 27 |
+
"amphitheater",
|
| 28 |
+
"amusement arcade",
|
| 29 |
+
"amusement park",
|
| 30 |
+
"anechoic chamber",
|
| 31 |
+
"apartment building outdoor",
|
| 32 |
+
"apse indoor",
|
| 33 |
+
"aquarium",
|
| 34 |
+
"aqueduct",
|
| 35 |
+
"arch",
|
| 36 |
+
"archive",
|
| 37 |
+
"arrival gate outdoor",
|
| 38 |
+
"art gallery",
|
| 39 |
+
"art school",
|
| 40 |
+
"art studio",
|
| 41 |
+
"assembly line",
|
| 42 |
+
"athletic field outdoor",
|
| 43 |
+
"atrium public",
|
| 44 |
+
"attic",
|
| 45 |
+
"auditorium",
|
| 46 |
+
"auto factory",
|
| 47 |
+
"badlands",
|
| 48 |
+
"badminton court indoor",
|
| 49 |
+
"baggage claim",
|
| 50 |
+
"bakery shop",
|
| 51 |
+
"balcony exterior",
|
| 52 |
+
"balcony interior",
|
| 53 |
+
"ball pit",
|
| 54 |
+
"ballroom",
|
| 55 |
+
"bamboo forest",
|
| 56 |
+
"banquet hall",
|
| 57 |
+
"bar",
|
| 58 |
+
"barn",
|
| 59 |
+
"barndoor",
|
| 60 |
+
"baseball field",
|
| 61 |
+
"basement",
|
| 62 |
+
"basilica",
|
| 63 |
+
"basketball court outdoor",
|
| 64 |
+
"bathroom",
|
| 65 |
+
"batters box",
|
| 66 |
+
"bayou",
|
| 67 |
+
"bazaar indoor",
|
| 68 |
+
"bazaar outdoor",
|
| 69 |
+
"beach",
|
| 70 |
+
"beauty salon",
|
| 71 |
+
"bedroom",
|
| 72 |
+
"berth",
|
| 73 |
+
"biology laboratory",
|
| 74 |
+
"bistro indoor",
|
| 75 |
+
"boardwalk",
|
| 76 |
+
"boat deck",
|
| 77 |
+
"boathouse",
|
| 78 |
+
"bookstore",
|
| 79 |
+
"booth indoor",
|
| 80 |
+
"botanical garden",
|
| 81 |
+
"bow window indoor",
|
| 82 |
+
"bow window outdoor",
|
| 83 |
+
"bowling alley",
|
| 84 |
+
"boxing ring",
|
| 85 |
+
"brewery indoor",
|
| 86 |
+
"bridge",
|
| 87 |
+
"building facade",
|
| 88 |
+
"bullring",
|
| 89 |
+
"burial chamber",
|
| 90 |
+
"bus interior",
|
| 91 |
+
"butchers shop",
|
| 92 |
+
"butte",
|
| 93 |
+
"cabin outdoor",
|
| 94 |
+
"cafeteria",
|
| 95 |
+
"campsite",
|
| 96 |
+
"campus",
|
| 97 |
+
"canal natural",
|
| 98 |
+
"canal urban",
|
| 99 |
+
"candy store",
|
| 100 |
+
"canyon",
|
| 101 |
+
"car interior backseat",
|
| 102 |
+
"car interior frontseat",
|
| 103 |
+
"carrousel",
|
| 104 |
+
"casino indoor",
|
| 105 |
+
"castle",
|
| 106 |
+
"catacomb",
|
| 107 |
+
"cathedral indoor",
|
| 108 |
+
"cathedral outdoor",
|
| 109 |
+
"cavern indoor",
|
| 110 |
+
"cemetery",
|
| 111 |
+
"chalet",
|
| 112 |
+
"cheese factory",
|
| 113 |
+
"chemistry lab",
|
| 114 |
+
"chicken coop indoor",
|
| 115 |
+
"chicken coop outdoor",
|
| 116 |
+
"childs room",
|
| 117 |
+
"church indoor",
|
| 118 |
+
"church outdoor",
|
| 119 |
+
"classroom",
|
| 120 |
+
"clean room",
|
| 121 |
+
"cliff",
|
| 122 |
+
"cloister indoor",
|
| 123 |
+
"closet",
|
| 124 |
+
"clothing store",
|
| 125 |
+
"coast",
|
| 126 |
+
"cockpit",
|
| 127 |
+
"coffee shop",
|
| 128 |
+
"computer room",
|
| 129 |
+
"conference center",
|
| 130 |
+
"conference room",
|
| 131 |
+
"construction site",
|
| 132 |
+
"control room",
|
| 133 |
+
"control tower outdoor",
|
| 134 |
+
"corn field",
|
| 135 |
+
"corral",
|
| 136 |
+
"corridor",
|
| 137 |
+
"cottage garden",
|
| 138 |
+
"courthouse",
|
| 139 |
+
"courtroom",
|
| 140 |
+
"courtyard",
|
| 141 |
+
"covered bridge exterior",
|
| 142 |
+
"creek",
|
| 143 |
+
"crevasse",
|
| 144 |
+
"crosswalk",
|
| 145 |
+
"cubicle office",
|
| 146 |
+
"dam",
|
| 147 |
+
"delicatessen",
|
| 148 |
+
"dentists office",
|
| 149 |
+
"desert sand",
|
| 150 |
+
"desert vegetation",
|
| 151 |
+
"diner indoor",
|
| 152 |
+
"diner outdoor",
|
| 153 |
+
"dinette home",
|
| 154 |
+
"dinette vehicle",
|
| 155 |
+
"dining car",
|
| 156 |
+
"dining room",
|
| 157 |
+
"discotheque",
|
| 158 |
+
"dock",
|
| 159 |
+
"doorway outdoor",
|
| 160 |
+
"dorm room",
|
| 161 |
+
"driveway",
|
| 162 |
+
"driving range outdoor",
|
| 163 |
+
"drugstore",
|
| 164 |
+
"electrical substation",
|
| 165 |
+
"elevator door",
|
| 166 |
+
"elevator interior",
|
| 167 |
+
"elevator shaft",
|
| 168 |
+
"engine room",
|
| 169 |
+
"escalator indoor",
|
| 170 |
+
"excavation",
|
| 171 |
+
"factory indoor",
|
| 172 |
+
"fairway",
|
| 173 |
+
"fastfood restaurant",
|
| 174 |
+
"field cultivated",
|
| 175 |
+
"field wild",
|
| 176 |
+
"fire escape",
|
| 177 |
+
"fire station",
|
| 178 |
+
"firing range indoor",
|
| 179 |
+
"fishpond",
|
| 180 |
+
"florist shop indoor",
|
| 181 |
+
"food court",
|
| 182 |
+
"forest broadleaf",
|
| 183 |
+
"forest needleleaf",
|
| 184 |
+
"forest path",
|
| 185 |
+
"forest road",
|
| 186 |
+
"formal garden",
|
| 187 |
+
"fountain",
|
| 188 |
+
"galley",
|
| 189 |
+
"game room",
|
| 190 |
+
"garage indoor",
|
| 191 |
+
"garbage dump",
|
| 192 |
+
"gas station",
|
| 193 |
+
"gazebo exterior",
|
| 194 |
+
"general store indoor",
|
| 195 |
+
"general store outdoor",
|
| 196 |
+
"gift shop",
|
| 197 |
+
"golf course",
|
| 198 |
+
"greenhouse indoor",
|
| 199 |
+
"greenhouse outdoor",
|
| 200 |
+
"gymnasium indoor",
|
| 201 |
+
"hangar indoor",
|
| 202 |
+
"hangar outdoor",
|
| 203 |
+
"harbor",
|
| 204 |
+
"hayfield",
|
| 205 |
+
"heliport",
|
| 206 |
+
"herb garden",
|
| 207 |
+
"highway",
|
| 208 |
+
"hill",
|
| 209 |
+
"home office",
|
| 210 |
+
"hospital",
|
| 211 |
+
"hospital room",
|
| 212 |
+
"hot spring",
|
| 213 |
+
"hot tub outdoor",
|
| 214 |
+
"hotel outdoor",
|
| 215 |
+
"hotel room",
|
| 216 |
+
"house",
|
| 217 |
+
"hunting lodge outdoor",
|
| 218 |
+
"ice cream parlor",
|
| 219 |
+
"ice floe",
|
| 220 |
+
"ice shelf",
|
| 221 |
+
"ice skating rink indoor",
|
| 222 |
+
"ice skating rink outdoor",
|
| 223 |
+
"iceberg",
|
| 224 |
+
"igloo",
|
| 225 |
+
"industrial area",
|
| 226 |
+
"inn outdoor",
|
| 227 |
+
"islet",
|
| 228 |
+
"jacuzzi indoor",
|
| 229 |
+
"jail cell",
|
| 230 |
+
"jail indoor",
|
| 231 |
+
"jewelry shop",
|
| 232 |
+
"kasbah",
|
| 233 |
+
"kennel indoor",
|
| 234 |
+
"kennel outdoor",
|
| 235 |
+
"kindergarden classroom",
|
| 236 |
+
"kitchen",
|
| 237 |
+
"kitchenette",
|
| 238 |
+
"labyrinth outdoor",
|
| 239 |
+
"lake natural",
|
| 240 |
+
"landfill",
|
| 241 |
+
"landing deck",
|
| 242 |
+
"laundromat",
|
| 243 |
+
"lecture room",
|
| 244 |
+
"library indoor",
|
| 245 |
+
"library outdoor",
|
| 246 |
+
"lido deck outdoor",
|
| 247 |
+
"lift bridge",
|
| 248 |
+
"lighthouse",
|
| 249 |
+
"limousine interior",
|
| 250 |
+
"living room",
|
| 251 |
+
"lobby",
|
| 252 |
+
"lock chamber",
|
| 253 |
+
"locker room",
|
| 254 |
+
"mansion",
|
| 255 |
+
"manufactured home",
|
| 256 |
+
"market indoor",
|
| 257 |
+
"market outdoor",
|
| 258 |
+
"marsh",
|
| 259 |
+
"martial arts gym",
|
| 260 |
+
"mausoleum",
|
| 261 |
+
"medina",
|
| 262 |
+
"moat water",
|
| 263 |
+
"monastery outdoor",
|
| 264 |
+
"mosque indoor",
|
| 265 |
+
"mosque outdoor",
|
| 266 |
+
"motel",
|
| 267 |
+
"mountain",
|
| 268 |
+
"mountain snowy",
|
| 269 |
+
"movie theater indoor",
|
| 270 |
+
"museum indoor",
|
| 271 |
+
"music store",
|
| 272 |
+
"music studio",
|
| 273 |
+
"nuclear power plant outdoor",
|
| 274 |
+
"nursery",
|
| 275 |
+
"oast house",
|
| 276 |
+
"observatory outdoor",
|
| 277 |
+
"ocean",
|
| 278 |
+
"office",
|
| 279 |
+
"office building",
|
| 280 |
+
"oil refinery outdoor",
|
| 281 |
+
"oilrig",
|
| 282 |
+
"operating room",
|
| 283 |
+
"orchard",
|
| 284 |
+
"outhouse outdoor",
|
| 285 |
+
"pagoda",
|
| 286 |
+
"palace",
|
| 287 |
+
"pantry",
|
| 288 |
+
"park",
|
| 289 |
+
"parking garage indoor",
|
| 290 |
+
"parking garage outdoor",
|
| 291 |
+
"parking lot",
|
| 292 |
+
"parlor",
|
| 293 |
+
"pasture",
|
| 294 |
+
"patio",
|
| 295 |
+
"pavilion",
|
| 296 |
+
"pharmacy",
|
| 297 |
+
"phone booth",
|
| 298 |
+
"physics laboratory",
|
| 299 |
+
"picnic area",
|
| 300 |
+
"pilothouse indoor",
|
| 301 |
+
"planetarium outdoor",
|
| 302 |
+
"playground",
|
| 303 |
+
"playroom",
|
| 304 |
+
"plaza",
|
| 305 |
+
"podium indoor",
|
| 306 |
+
"podium outdoor",
|
| 307 |
+
"pond",
|
| 308 |
+
"poolroom establishment",
|
| 309 |
+
"poolroom home",
|
| 310 |
+
"power plant outdoor",
|
| 311 |
+
"promenade deck",
|
| 312 |
+
"pub indoor",
|
| 313 |
+
"pulpit",
|
| 314 |
+
"putting green",
|
| 315 |
+
"racecourse",
|
| 316 |
+
"raceway",
|
| 317 |
+
"raft",
|
| 318 |
+
"railroad track",
|
| 319 |
+
"rainforest",
|
| 320 |
+
"reception",
|
| 321 |
+
"recreation room",
|
| 322 |
+
"residential neighborhood",
|
| 323 |
+
"restaurant",
|
| 324 |
+
"restaurant kitchen",
|
| 325 |
+
"restaurant patio",
|
| 326 |
+
"rice paddy",
|
| 327 |
+
"riding arena",
|
| 328 |
+
"river",
|
| 329 |
+
"rock arch",
|
| 330 |
+
"rope bridge",
|
| 331 |
+
"ruin",
|
| 332 |
+
"runway",
|
| 333 |
+
"sandbar",
|
| 334 |
+
"sandbox",
|
| 335 |
+
"sauna",
|
| 336 |
+
"schoolhouse",
|
| 337 |
+
"sea cliff",
|
| 338 |
+
"server room",
|
| 339 |
+
"shed",
|
| 340 |
+
"shoe shop",
|
| 341 |
+
"shopfront",
|
| 342 |
+
"shopping mall indoor",
|
| 343 |
+
"shower",
|
| 344 |
+
"skatepark",
|
| 345 |
+
"ski lodge",
|
| 346 |
+
"ski resort",
|
| 347 |
+
"ski slope",
|
| 348 |
+
"sky",
|
| 349 |
+
"skyscraper",
|
| 350 |
+
"slum",
|
| 351 |
+
"snowfield",
|
| 352 |
+
"squash court",
|
| 353 |
+
"stable",
|
| 354 |
+
"stadium baseball",
|
| 355 |
+
"stadium football",
|
| 356 |
+
"stage indoor",
|
| 357 |
+
"staircase",
|
| 358 |
+
"street",
|
| 359 |
+
"subway interior",
|
| 360 |
+
"subway station platform",
|
| 361 |
+
"supermarket",
|
| 362 |
+
"sushi bar",
|
| 363 |
+
"swamp",
|
| 364 |
+
"swimming pool indoor",
|
| 365 |
+
"swimming pool outdoor",
|
| 366 |
+
"synagogue indoor",
|
| 367 |
+
"synagogue outdoor",
|
| 368 |
+
"television studio",
|
| 369 |
+
"temple east asia",
|
| 370 |
+
"temple south asia",
|
| 371 |
+
"tennis court indoor",
|
| 372 |
+
"tennis court outdoor",
|
| 373 |
+
"tent outdoor",
|
| 374 |
+
"theater indoor procenium",
|
| 375 |
+
"theater indoor seats",
|
| 376 |
+
"thriftshop",
|
| 377 |
+
"throne room",
|
| 378 |
+
"ticket booth",
|
| 379 |
+
"toll plaza",
|
| 380 |
+
"topiary garden",
|
| 381 |
+
"tower",
|
| 382 |
+
"toyshop",
|
| 383 |
+
"track outdoor",
|
| 384 |
+
"train railway",
|
| 385 |
+
"train station platform",
|
| 386 |
+
"tree farm",
|
| 387 |
+
"tree house",
|
| 388 |
+
"trench",
|
| 389 |
+
"underwater coral reef",
|
| 390 |
+
"utility room",
|
| 391 |
+
"valley",
|
| 392 |
+
"van interior",
|
| 393 |
+
"vegetable garden",
|
| 394 |
+
"veranda",
|
| 395 |
+
"veterinarians office",
|
| 396 |
+
"viaduct",
|
| 397 |
+
"videostore",
|
| 398 |
+
"village",
|
| 399 |
+
"vineyard",
|
| 400 |
+
"volcano",
|
| 401 |
+
"volleyball court indoor",
|
| 402 |
+
"volleyball court outdoor",
|
| 403 |
+
"waiting room",
|
| 404 |
+
"warehouse indoor",
|
| 405 |
+
"water tower",
|
| 406 |
+
"waterfall block",
|
| 407 |
+
"waterfall fan",
|
| 408 |
+
"waterfall plunge",
|
| 409 |
+
"watering hole",
|
| 410 |
+
"wave",
|
| 411 |
+
"wet bar",
|
| 412 |
+
"wheat field",
|
| 413 |
+
"wind farm",
|
| 414 |
+
"windmill",
|
| 415 |
+
"wine cellar barrel storage",
|
| 416 |
+
"wine cellar bottle storage",
|
| 417 |
+
"wrestling ring indoor",
|
| 418 |
+
"yard",
|
| 419 |
+
"youth hostel",
|
| 420 |
+
]
|
| 421 |
+
|
| 422 |
+
clip_templates = [
|
| 423 |
+
lambda c: f"a photo of a {c}.",
|
| 424 |
+
lambda c: f"a photo of the {c}.",
|
| 425 |
+
]
|
| 426 |
+
|
| 427 |
+
def _info(self):
|
| 428 |
+
return datasets.DatasetInfo(
|
| 429 |
+
description="SUN397 dataset for image classification.",
|
| 430 |
+
features=datasets.Features(
|
| 431 |
+
{
|
| 432 |
+
"image": datasets.Image(),
|
| 433 |
+
"label": datasets.ClassLabel(names=self.classnames),
|
| 434 |
+
}
|
| 435 |
+
),
|
| 436 |
+
supervised_keys=("image", "label"),
|
| 437 |
+
task_templates=[datasets.ImageClassification(image_column="image", label_column="label")],
|
| 438 |
+
)
|