image
imagewidth (px)
3.03k
3.03k
country_iso_alpha2
stringclasses
56 values
latitude
stringlengths
5
11
longitude
stringlengths
5
12
address
stringlengths
0
121
SK
48.3710587
19.416553
050103, Šuľa, Slovakia
SK
48.4320544
19.6423298
050112, 985 22 Cinobaňa, Slovakia
SK
48.5918252
20.0393045
050133, 982 67 Rovné, Slovakia
SK
48.8620542
17.9421051
061028, 913 04 Chocholná-Velčice-Velčice, Slovensko
SK
48.0386299
17.3892578
063012, 930 51 Veľká Paka, Slovakia
HK
22.5059159
114.1185466
1 Choi Shun St, Sheung Shui, Hong Kong
JP
35.1078956
136.9538505
1 Chome-14-2 Nonami, Tenpaku Ward, Nagoja, Prefektura Aichi, Japonia
GB
51.9408179
-0.9192882
1 Furzen Farm Cottages, Verney Junction, Buckingham, Buckinghamshire MK18 2JY, UK
HK
22.2649278
114.2367713
1 Ning Foo St, Chai Wan, Hong Kong
IE
52.3853997
-6.4569117
1 Saint Ibar's Villas, Castlebridge, Co. Wexford, Ireland
FR
45.3485271
6.31018
1-317 Route des Îles, 73130 Saint-Avre, France
HK
22.2466206
114.2492115
10 Big Wave Bay Rd, Shek O, Hong Kong
CA
47.8931359
-70.0011169
1000 QC-170, Saint-Siméon, QC G0T 1X0, Canada
BG
41.5943654
23.1914498
1008, 2826 Mikrevo, Bulgaria
GB
53.4319718
-2.5881725
101 Myddleton Lane, Winwick, Warrington WA2 8LR, UK
SG
1.408964
103.8586841
101 Seletar Club Rd, Singapore 798273
NZ
-37.74839
175.9786412
101 Te Kohanga Road, Whakamarama 3176, New Zealand
KR
35.0919391
129.0373761
103-1 Daegyodong 1(il)-ga, Yeongdo-gu, Busan, South Korea
NZ
-37.5725526
175.5371903
104-120 Manhire Road, Te Puninga 3374, New Zealand
KR
37.635146
126.789718
1054-1 Baekseok-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do, South Korea
SI
45.8400276
14.6330656
106 109, 1315 Velike Lašče, Slovenia
BD
23.873288
90.0129856
108, Road-1, Belayet Hossain Khan Road Dhaka - Aricha Hwy, Manikganj 1800, Bangladesch
CA
46.236103
-63.2168817
109 Cornwall Road, Cornwall, PE C0A, Canada
KR
35.1694561
129.1380132
1090-7 U 2(i)-dong, Haeundae-gu, Busan, South Korea
GB
56.7659056
-5.8280751
11 Sgiath Bheag, Acharacle, Highland PH36 4JZ, UK
IE
52.909645
-6.8512062
11-311 Coill Diarmada, Co. Kildare, Ireland
PE
-9.6249589
-77.1906914
110, Peru
SG
1.3151061
104.0080308
110 Tanah Merah Coast Rd, Singapore 498800
US
42.8982629
-85.6409298
1113-1185 36th Street Southeast, Grand Rapids, MI 49508, USA
AU
-38.3537558
144.2939587
113 Ocean Boulevard, Jan Juc VIC 3228, Australia
AU
-42.6723271
147.1511142
1160 Church Road, Broadmarsh Tasmanie 7030, Australie
SG
1.3630433
103.7645743
1160 Hillview Ave, Singapore 669602
ZA
-27.9697472
26.8055598
11813-11814 Fonya Crescent, Welkom 9478, South Africa
AU
-38.3592517
144.9263783
12 Leichardt Street, McCrae VIC 3938, Australia
PE
-15.7985617
-70.1422239
122, Peru
ZA
-33.0154844
27.849417
125 Dunoon Road, East London 5209, South Africa
LT
54.2398632
24.1678309
129, 65331, Lithuania
GB
54.5777363
-5.7342702
13 Ballyalton Road, Newtownards, District d'Ards BT23 5AB, Royaume-Uni
NZ
-43.2813389
172.251759
130 Mcjarrows Road, Starvation Hill 7495, New Zealand
HK
22.4437693
114.0154795
133 Castle Peak Road (Ping Shan), Ping Shan, Hong Kong
KR
37.6429901
126.7863617
1341 Baekseok-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do, South Korea
FI
60.7859304
24.6755451
13629 20-36, 11910 Janakkala, Finland
GB
53.7500565
-1.7333846
14 Mill Carr Hill Road, Oakenshaw, Bradford, West Yorkshire BD12, UK
KH
12.2619072
104.4792752
144, ឃុំ ប្រស្នឹប, Cambodgia
US
38.3585153
-94.0305347
1444-1498 Missouri 18, Urich, MO 64788, USA
CA
48.8338598
-87.5225866
145 Superior St, Rossport, ON P0T, Canada
FI
61.0898476
27.7788883
14768 103-125, 54710 Lemi, Finland
PE
-9.5657956
-77.594982
14A 320, Peru
SK
49.1717732
21.6618364
15, 091 01 Stropkov, Slovakia
SG
1.3050822
103.8238782
151 Tanglin Rd, Singapore
LT
55.0912487
24.3979373
1514, 55490, Lithuania
FI
61.8219134
29.1868501
15204 231-247, 58430 Punkaharju, Finland
FI
63.0338146
23.9698275
16 885-945, 62900 Alajärvi, Finland
AU
-38.4525579
145.1999819
16-20 Penguin Avenue, Cowes VIC 3922, Australia
KR
37.6199953
127.0522742
160-12 Jangwi 3(sam)-dong, Seongbuk-gu, Seoul, South Korea
FI
63.4877557
26.51182
16036 334-358, 74680 Kiuruvesi, Finland
FR
46.0688725
5.2043069
161 Chemin du Mas Vernon, 01240 Dompierre-sur-Veyle, France
FI
60.638087
25.5720446
162 83-93, 07560 Pukkila, Finnland
FI
62.5414648
27.7745173
16353 517-533, 79100 Leppävirta, Finland
CA
49.3351819
-123.0291068
1644-1684 Kilkenny Road, North Vancouver, BC V7J, Canada
FI
61.833327
25.2953128
16567 470-508, 42100 Jämsä, Finland
CA
43.9585373
-64.749318
167 White Point Road Number Two Rd, Queens, NS B0T 1G0, Canada
SE
57.6229483
13.3858774
1695, 523 60 Gällstad, Sweden
SG
1.3031701
103.8641979
17 Beach Rd, Singapore
HK
22.4435078
114.0322413
17-31 Fung Cheung Rd, Yuen Long, Гонконг
KR
37.5814319
127.0795647
170-11 Myeonmok 5(o)-dong, Jungnang-gu, Seoul, South Korea
FI
60.7837355
25.9787291
172 348-398, 16270 Orimattila, Finland
FR
45.598798
5.8767331
175-265 Rue de Leya, 73290 La Motte-Servolex, France
FI
62.9644872
22.4732781
17629 199-205, 61430 Seinäjoki, Finland
US
36.0755235
-80.2627606
1772-1798 Camden Road, Winston-Salem, NC 27103, USA
AU
-33.7205429
150.7034938
18 Camelot Drive, Cranebrook NSW 2749, Australien
SK
48.8699437
21.7948582
18, Strážske, Slovakia
LT
54.6282385
24.3884875
1812, Užuguostis 59367, Lithuania
NZ
-43.4617362
172.0244982
182 Deans Road, Darfield 7571, New Zealand
LT
54.7020056
24.416863
1824, Lithuania
MY
4.5431515
101.3115495
185, 31300 Ipoh, Perak, Malaysia
AU
-34.3420081
116.8830183
1856 Wingebellup Road, Frankland River WA 6396, Australia
NZ
-45.5513762
169.3274356
186 Wright Road, Roxburgh East 9572, New Zealand
FR
47.5177134
-1.9730863
19 Rue du Moulin de la Justice, 44530 Guenrouet, France
AU
-33.5445359
115.9493367
191 Attwood Road, Lowden WA 6240, Australia
CA
56.7261772
-120.9897706
19245-19301 Prespatou Rd, Buick, BC V0C 2R0, Canada
LT
55.1367069
23.6925143
1925, 54291, Lithuania
LT
55.504888
21.6494498
193, Švėkšna 99387, Lithuania
LT
54.8819104
23.7633043
1932, 53330, Lithuania
US
33.377597
-82.6275139
1950-2012 Shurley Road, Warrenton, GA 30828, USA
FI
65.9787027
24.7063243
19575 84-88, 95325 Tervola, Finland
SI
46.4147498
15.8900857
2 74-82, 2250 Ptuj, Slowenien
PE
-5.4039015
-79.6299523
2 A 590, Peru
PE
-5.2399519
-80.084025
2 A, Peru
ZA
-34.0621148
23.0884809
2 Boyce Close, Knysna 6571, South Africa
FR
46.9283718
4.7989349
2 Impasse Saint-Éloi, 71150 Chaudenay, France
HK
22.3074
114.1699028
2 Saigon St, Yau Ma Tei, Hong Kong
MY
2.726012
101.9388726
2000, Jalan Tunku Hassan, Seremban, 70000 Seremban, Negeri Sembilan, Малайзия
BG
43.6140864
26.8181184
2005, 7449 Bogdantsi, Bulgaria
AU
-36.8809086
141.4674011
201 Maryvale Road, Karnak VIC 3401, Australia
HU
47.6737164
19.1110651
2015 Szigetmonostor, Horánygyöngye Street 61, Hungary
HK
22.2783426
114.1747987
204 Lockhart Rd, Wan Chai, Hong Kong
BG
43.2184605
27.2878132
2082, 9234 Nenovo, Bulgaria
KR
37.4801747
126.4782739
2091-95 Unseo-dong, Jung-gu, Incheon, Corée du Sud
SI
46.304984
14.4951695
210 15, 4205 Preddvor, Slovenia

Dataset Card for panoramic street view images (v.0.0.2)

Dataset Summary

The random streetview images dataset are labeled, panoramic images scraped from randomstreetview.com. Each image shows a location accessible by Google Streetview that has been roughly combined to provide ~360 degree view of a single location. The dataset was designed with the intent to geolocate an image purely based on its visual content.

Supported Tasks and Leaderboards

None as of now!

Languages

labels: Addresses are written in a combination of English and the official language of country they belong to.

images: There are some images with signage that can contain a language. Albeit, they are less common.

Dataset Structure

For now, images exist exclusively in the train split and it is at the user's discretion to split the dataset how they please.

Data Instances

For each instance, there is:

  • timestamped file name: '{YYYYMMDD}_{address}.jpg`
  • the image
  • the country iso-alpha2 code
  • the latitude
  • the longitude
  • the address

Fore more examples see the dataset viewer

{
filename: '20221001_Jarše Slovenia_46.1069942_14.9378597.jpg'
country_iso_alpha2 : 'SI'
latitude: '46.028223'
longitude: '14.345106'
address: 'Jarše Slovenia_46.1069942_14.9378597'
}

Data Fields

  • country_iso_alpha2: a unique 2 character code for each country in the world following the ISO 3166 standard
  • latitude: the angular distance of a place north or south of the earth's equator
  • longitude: the angular distance of a place east or west of the standard meridian of the Earth
  • address: the physical address written from most micro -> macro order (Street, Neighborhood, City, State, Country)

Data Splits

'train': all images are currently contained in the 'train' split

Dataset Creation

Curation Rationale

Google StreetView Images requires money per image scraped.

This dataset provides about 10,000 of those images for free.

Source Data

Who are the source image producers?

Google Street View provide the raw image, this dataset combined various cuts of the images into a panoramic.

[More Information Needed]

Annotations

Annotation process

The address, latitude, and longitude are all scraped from the API response. While portions of the data has been manually validated, the assurance in accuracy is based on the correctness of the API response.

Personal and Sensitive Information

While Google Street View does blur out images and license plates to the best of their ability, it is not guaranteed as can been seen in some photos. Please review Google's documentation for more information

Considerations for Using the Data

Social Impact of Dataset

This dataset was designed after inspiration from playing the popular online game, [geoguessr.com[(geoguessr.com). We ask that users of this dataset consider if their geolocation based application will harm or jeopardize any fair institution or system.

Discussion of Biases

Out of the ~195 countries that exists, this dataset only contains images from about 55 countries. Each country has an average of 175 photos, with some countries having slightly less.

The 55 countries are: ["ZA","KR","AR","BW","GR","SK","HK","NL","PE","AU","KH","LT","NZ","RO","MY","SG","AE","FR","ES","IT","IE","LV","IL","JP","CH","AD","CA","RU","NO","SE","PL","TW","CO","BD","HU","CL","IS","BG","GB","US","SI","BT","FI","BE","EE","SZ","UA","CZ","BR","DK","ID","MX","DE","HR","PT","TH"]

In terms of continental representation:

continent Number of Countries Represented
Europe 30
Asia 13
South America 5
Africa 3
North America 3
Oceania 2

This is not a fair representation of the world and its various climates, neighborhoods, and overall place. But it's a start!

Other Known Limitations

As per Google's policy: "Street View imagery shows only what our cameras were able to see on the day that they passed by the location. Afterwards, it takes months to process them. This means that content you see could be anywhere from a few months to a few years old."

Licensing Information

MIT License

Citation Information

Contributions

Thanks to @WinsonTruong and @ David Hrachovy for helping developing this dataset. This dataset was developed for a Geolocator project with the aforementioned developers, @samhita-alla and @yiyixuxu.

Thanks to FSDL for a wonderful class and online cohort.

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