ARCHONG/sun397

---
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')
```

# SUN397 数据集

## 数据集元信息
语言：
- 英语（en）
样本数量区间：10000 < 样本数 < 100000
任务范畴：图像分类（image-classification）

数据集详情：
特征：
- 名称：图像（image），数据类型：图像
- 名称：标签（label），数据类型：类别标签（class_label），共包含397个场景类别，完整类别名称可通过文件`ClassName.txt`获取。

数据集划分：
- 名称：训练集（train），数据字节数：8834961188.3，样本量：19850
- 名称：测试集（test），数据字节数：8610045383.95，样本量：19850
总下载大小：14498373101 字节
数据集总存储大小：17445006572.25 字节

配置信息：
- 配置名称：默认（default），数据文件路径：
- 训练集：data/train-*
- 测试集：data/test-*

---

## 数据集说明
本数据集为SUN数据集的子集，选取397个场景类别用于场景识别任务，相关研究参见下述论文。
各分类的图像数量存在差异，但每个分类至少包含100张图像，总图像数共计108754张。所有图像均为JPEG格式，仅可用于学术研究用途。

文件`ClassName.txt`包含这397个类别的完整名称列表。

若在研究工作中使用本数据集，请引用以下论文：
> J. Xiao, J. Hays, K. Ehinger, A. Oliva, 及 A. Torralba.
> SUN数据库：从修道院（abbey）到动物园（zoo）的大规模场景识别数据集.
> 发表于第23届IEEE计算机视觉与模式识别会议（CVPR2010）.

如需获取更多信息，请访问项目主页：
http://groups.csail.mit.edu/vision/SUN/

## 使用方法
python
from datasets import load_dataset

dataset = load_dataset('tanganke/sun397')