The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'lighting_condition'}) and 1 missing columns ({'glare'}).

This happened while the csv dataset builder was generating data using

hf://datasets/NUS-UAL/global-streetscapes/manual_labels/train/lighting_condition.csv (at revision f32c31dffab66fec8a032cd2ee17c6610eb301c3)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              uuid: string
              source: string
              orig_id: int64
              lighting_condition: string
              url: string
              label_method: string
              city: string
              city_id: int64
              country: string
              continent: string
              lat: double
              lon: double
              datetime_local: string
              sequence_index: int64
              sequence_id: string
              split: string
              img_path: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2225
              to
              {'uuid': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'orig_id': Value(dtype='int64', id=None), 'glare': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'label_method': Value(dtype='string', id=None), 'city': Value(dtype='string', id=None), 'city_id': Value(dtype='int64', id=None), 'country': Value(dtype='string', id=None), 'continent': Value(dtype='string', id=None), 'lat': Value(dtype='float64', id=None), 'lon': Value(dtype='float64', id=None), 'datetime_local': Value(dtype='string', id=None), 'sequence_index': Value(dtype='int64', id=None), 'sequence_id': Value(dtype='string', id=None), 'split': Value(dtype='string', id=None), 'img_path': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1387, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'lighting_condition'}) and 1 missing columns ({'glare'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/NUS-UAL/global-streetscapes/manual_labels/train/lighting_condition.csv (at revision f32c31dffab66fec8a032cd2ee17c6610eb301c3)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

uuid
string
source
string
orig_id
int64
glare
string
url
string
label_method
string
city
string
city_id
int64
country
string
continent
string
lat
float64
lon
float64
datetime_local
string
sequence_index
int64
sequence_id
string
split
string
img_path
string
1978a821-d39f-4d98-8d8b-a9975d497385
Mapillary
976,482,762,890,327
no
https://www.mapillary.com/app/?pKey=976482762890327&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790652
-1.766745
2018-08-05 11:33:53.319000+02:00
12
J63JR0B5QM6pfhxWwj9IWA
train
img/3/1978a821-d39f-4d98-8d8b-a9975d497385.jpeg
12731198-74b8-448e-bec8-faa96b024a2c
Mapillary
246,917,197,222,492
no
https://www.mapillary.com/app/?pKey=246917197222492&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.785087
-1.766823
2017-07-02 14:03:01.745000+02:00
33
eo1Pec9DyI5lxwa4KhvwXw
train
img/6/12731198-74b8-448e-bec8-faa96b024a2c.jpeg
ad798a8c-649a-4ff8-b9a2-f2932dc228ff
Mapillary
2,970,430,033,242,379
no
https://www.mapillary.com/app/?pKey=2970430033242379&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790926
-1.766326
2016-11-01 16:57:17.295000+01:00
35
K-ILLX1_HQqfj3Z1pNCB9Q
train
img/3/ad798a8c-649a-4ff8-b9a2-f2932dc228ff.jpeg
2d1f6cba-f083-4308-ae6d-35402709ac4e
Mapillary
568,930,494,081,380
no
https://www.mapillary.com/app/?pKey=568930494081380&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.784608
-1.762885
2017-07-02 14:03:25.934000+02:00
57
eo1Pec9DyI5lxwa4KhvwXw
train
img/5/2d1f6cba-f083-4308-ae6d-35402709ac4e.jpeg
ba75d911-58e3-4319-ba02-75b8f5af8837
Mapillary
457,198,638,702,420
no
https://www.mapillary.com/app/?pKey=457198638702420&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.784535
-1.760188
2017-07-02 14:03:46.049000+02:00
77
eo1Pec9DyI5lxwa4KhvwXw
train
img/3/ba75d911-58e3-4319-ba02-75b8f5af8837.jpeg
83bfeed5-c3fd-4972-bd5c-dc8d99f5eff9
Mapillary
3,431,244,766,975,759
no
https://www.mapillary.com/app/?pKey=3431244766975759&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.78455
-1.760757
2017-07-02 14:03:42.029000+02:00
73
eo1Pec9DyI5lxwa4KhvwXw
train
img/2/83bfeed5-c3fd-4972-bd5c-dc8d99f5eff9.jpeg
32de4a41-4471-4e82-a7d2-52303eba3dab
Mapillary
292,827,205,713,670
no
https://www.mapillary.com/app/?pKey=292827205713670&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790525
-1.75981
2016-11-01 12:00:15.479000+01:00
396
19cpum69akigj5podygolw
train
img/4/32de4a41-4471-4e82-a7d2-52303eba3dab.jpeg
52a51d9d-1d73-4656-a32c-c0bd08af8e22
Mapillary
893,070,377,931,574
no
https://www.mapillary.com/app/?pKey=893070377931574&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.789633
-1.767905
2016-11-01 12:01:27.281000+01:00
431
19cpum69akigj5podygolw
train
img/3/52a51d9d-1d73-4656-a32c-c0bd08af8e22.jpeg
e5933b92-9815-4b62-b66a-e0399cddf780
Mapillary
569,454,580,702,017
no
https://www.mapillary.com/app/?pKey=569454580702017&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790759
-1.766591
2018-08-05 11:33:52.184000+02:00
11
J63JR0B5QM6pfhxWwj9IWA
train
img/6/e5933b92-9815-4b62-b66a-e0399cddf780.jpeg
df44af56-3592-4b6f-af2b-2c88a37cec74
Mapillary
289,703,232,821,034
no
https://www.mapillary.com/app/?pKey=289703232821034&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.785076
-1.766477
2017-07-02 14:03:03.764000+02:00
35
eo1Pec9DyI5lxwa4KhvwXw
train
img/6/df44af56-3592-4b6f-af2b-2c88a37cec74.jpeg
fdd50149-4736-4946-8fcd-e066c56f6ac9
Mapillary
971,359,846,736,761
no
https://www.mapillary.com/app/?pKey=971359846736761&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790066
-1.767521
2016-11-01 16:57:08.387000+01:00
26
K-ILLX1_HQqfj3Z1pNCB9Q
train
img/3/fdd50149-4736-4946-8fcd-e066c56f6ac9.jpeg
141fd713-5bbc-48ce-a95d-8ec503919be5
Mapillary
825,568,588,354,414
no
https://www.mapillary.com/app/?pKey=825568588354414&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.784521
-1.760031
2017-07-02 14:03:47.115000+02:00
78
eo1Pec9DyI5lxwa4KhvwXw
train
img/3/141fd713-5bbc-48ce-a95d-8ec503919be5.jpeg
5eb9a153-81c2-437c-a7c2-494ab474dad2
Mapillary
270,036,261,481,904
no
https://www.mapillary.com/app/?pKey=270036261481904&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.784555
-1.76113
2017-07-02 14:03:39.031000+02:00
70
eo1Pec9DyI5lxwa4KhvwXw
train
img/1/5eb9a153-81c2-437c-a7c2-494ab474dad2.jpeg
6707bb77-44cd-41bb-bebc-83fea443d9db
Mapillary
825,708,831,675,475
no
https://www.mapillary.com/app/?pKey=825708831675475&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.791134
-1.766039
2016-11-01 16:57:19.262000+01:00
37
K-ILLX1_HQqfj3Z1pNCB9Q
train
img/6/6707bb77-44cd-41bb-bebc-83fea443d9db.jpeg
0ef75504-f5c2-4c86-811d-39aca429291f
Mapillary
373,767,707,225,320
no
https://www.mapillary.com/app/?pKey=373767707225320&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790222
-1.767087
2016-11-01 12:01:18.774000+01:00
427
19cpum69akigj5podygolw
train
img/4/0ef75504-f5c2-4c86-811d-39aca429291f.jpeg
42e8c905-c180-4cf7-99ba-f8195aeb3be5
Mapillary
146,806,674,059,957
no
https://www.mapillary.com/app/?pKey=146806674059957&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790896
-1.761716
2016-11-01 12:00:25.840000+01:00
401
19cpum69akigj5podygolw
train
img/5/42e8c905-c180-4cf7-99ba-f8195aeb3be5.jpeg
84807902-c117-49cf-857d-d63541ed137b
Mapillary
798,385,614,447,860
no
https://www.mapillary.com/app/?pKey=798385614447860&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790222
-1.767342
2018-08-05 11:33:58.213000+02:00
16
J63JR0B5QM6pfhxWwj9IWA
train
img/5/84807902-c117-49cf-857d-d63541ed137b.jpeg
1dacc914-cd74-4970-9a89-20b440c2ea5c
Mapillary
304,339,664,403,173
no
https://www.mapillary.com/app/?pKey=304339664403173&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.784861
-1.764948
2017-07-02 14:03:12.794000+02:00
44
eo1Pec9DyI5lxwa4KhvwXw
train
img/4/1dacc914-cd74-4970-9a89-20b440c2ea5c.jpeg
b6516ab0-da81-4fe9-8d42-cb77c9937bf2
Mapillary
215,515,886,644,180
no
https://www.mapillary.com/app/?pKey=215515886644180&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.784752
-1.764151
2017-07-02 14:03:17.798000+02:00
49
eo1Pec9DyI5lxwa4KhvwXw
train
img/6/b6516ab0-da81-4fe9-8d42-cb77c9937bf2.jpeg
e19781ee-c0b7-40a0-8357-8f8abbb4bece
Mapillary
207,663,590,941,956
no
https://www.mapillary.com/app/?pKey=207663590941956&focus=photo
random sample and manual label
Tarazona de Aragón
1,724,796,233
Spain
Europe
41.790154
-1.767386
2016-11-01 16:57:09.421000+01:00
27
K-ILLX1_HQqfj3Z1pNCB9Q
train
img/3/e19781ee-c0b7-40a0-8357-8f8abbb4bece.jpeg
7680f8b9-6b9b-48c7-ab73-e18537ec7336
Mapillary
1,107,543,566,418,319
no
https://www.mapillary.com/app/?pKey=1107543566418319&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.326377
-1.400904
2018-05-23 15:26:02.529000+01:00
630
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/6/7680f8b9-6b9b-48c7-ab73-e18537ec7336.jpeg
f4a6495c-9899-4b87-913c-58f044135562
Mapillary
157,589,106,369,935
no
https://www.mapillary.com/app/?pKey=157589106369935&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.326032
-1.399915
2018-05-23 15:25:58.529000+01:00
626
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/6/f4a6495c-9899-4b87-913c-58f044135562.jpeg
65a28401-03df-4ed8-8fa3-825255be0fa2
Mapillary
487,109,565,864,184
no
https://www.mapillary.com/app/?pKey=487109565864184&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.326308
-1.400644
2018-05-23 15:26:01.529000+01:00
629
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/4/65a28401-03df-4ed8-8fa3-825255be0fa2.jpeg
10bf6ad1-a3bc-4281-a2a0-56e51172c365
Mapillary
313,601,323,534,233
no
https://www.mapillary.com/app/?pKey=313601323534233&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.325386
-1.39644
2018-05-23 15:25:44.530000+01:00
612
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/2/10bf6ad1-a3bc-4281-a2a0-56e51172c365.jpeg
3b60ab1b-1e73-48e0-9583-2a15a8d44321
Mapillary
246,478,903,924,447
no
https://www.mapillary.com/app/?pKey=246478903924447&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.325788
-1.39916
2018-05-23 15:25:55.529000+01:00
623
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/4/3b60ab1b-1e73-48e0-9583-2a15a8d44321.jpeg
29200d65-7724-4b15-83b8-54a525f5596f
Mapillary
862,169,824,334,527
no
https://www.mapillary.com/app/?pKey=862169824334527&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.326443
-1.401146
2018-05-23 15:26:03.529000+01:00
631
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/5/29200d65-7724-4b15-83b8-54a525f5596f.jpeg
ea70082a-9ec4-4ece-8504-5084f3883471
Mapillary
802,672,190,683,499
no
https://www.mapillary.com/app/?pKey=802672190683499&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.325657
-1.398363
2018-05-23 15:25:52.529000+01:00
620
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/3/ea70082a-9ec4-4ece-8504-5084f3883471.jpeg
ed24d625-9831-472c-bf70-4ee5384d9a05
Mapillary
183,449,380,312,477
no
https://www.mapillary.com/app/?pKey=183449380312477&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.324945
-1.39567
2018-05-23 15:25:40.529000+01:00
608
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/2/ed24d625-9831-472c-bf70-4ee5384d9a05.jpeg
0db6166d-2c15-43f3-b102-c2333d330c1d
Mapillary
1,410,685,509,292,358
no
https://www.mapillary.com/app/?pKey=1410685509292358&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.326226
-1.400373
2018-05-23 15:26:00.529000+01:00
628
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/5/0db6166d-2c15-43f3-b102-c2333d330c1d.jpeg
adb29d75-518b-4624-be5c-6d7f0aefceb8
Mapillary
490,878,362,031,890
no
https://www.mapillary.com/app/?pKey=490878362031890&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.32548
-1.396653
2018-05-23 15:25:45.530000+01:00
613
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/2/adb29d75-518b-4624-be5c-6d7f0aefceb8.jpeg
8cfedd0e-2bf6-49d0-97e7-939270bd4d65
Mapillary
148,004,727,295,582
no
https://www.mapillary.com/app/?pKey=148004727295582&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.32568
-1.398631
2018-05-23 15:25:53.529000+01:00
621
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/6/8cfedd0e-2bf6-49d0-97e7-939270bd4d65.jpeg
91e8af0b-52f8-4c4e-9a96-58e0ba496091
Mapillary
152,595,283,499,193
no
https://www.mapillary.com/app/?pKey=152595283499193&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.32517
-1.396052
2018-05-23 15:25:42.530000+01:00
610
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/4/91e8af0b-52f8-4c4e-9a96-58e0ba496091.jpeg
1341eb2b-86a3-4039-8a92-ac643cf4d663
Mapillary
589,254,562,463,489
no
https://www.mapillary.com/app/?pKey=589254562463489&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.325053
-1.395853
2018-05-23 15:25:41.530000+01:00
609
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/1/1341eb2b-86a3-4039-8a92-ac643cf4d663.jpeg
51f94ad7-64ae-423b-b0c0-7f6c38707673
Mapillary
1,893,685,710,795,509
no
https://www.mapillary.com/app/?pKey=1893685710795509&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.325874
-1.399415
2018-05-23 15:25:56.529000+01:00
624
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/3/51f94ad7-64ae-423b-b0c0-7f6c38707673.jpeg
34b5765b-d540-40a9-97a9-040fac67fe9b
Mapillary
144,570,840,982,973
no
https://www.mapillary.com/app/?pKey=144570840982973&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.325657
-1.398095
2018-05-23 15:25:51.529000+01:00
619
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/1/34b5765b-d540-40a9-97a9-040fac67fe9b.jpeg
344cfc79-e839-4a25-b8bf-a1683c399431
Mapillary
589,979,889,071,874
no
https://www.mapillary.com/app/?pKey=589979889071874&focus=photo
random sample and manual label
Northallerton
1,826,697,671
United Kingdom
Europe
54.326109
-1.400153
2018-05-23 15:25:59.529000+01:00
627
924f2559-43c3-478e-b52a-bad0a1e78967
train
img/2/344cfc79-e839-4a25-b8bf-a1683c399431.jpeg
23671806-354f-4e4a-b562-d45d8599d558
Mapillary
1,187,015,858,408,081
no
https://www.mapillary.com/app/?pKey=1187015858408081&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.94132
-69.027472
2020-03-08 11:34:15.824000-03:00
93
b1a10y0215fx4lcq05cbs9
train
img/1/23671806-354f-4e4a-b562-d45d8599d558.jpeg
fc4d27cb-96fe-4216-95a6-2d3788988130
Mapillary
776,308,026,609,745
no
https://www.mapillary.com/app/?pKey=776308026609745&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940172
-69.026643
2020-03-08 11:34:24.848000-03:00
101
b1a10y0215fx4lcq05cbs9
train
img/2/fc4d27cb-96fe-4216-95a6-2d3788988130.jpeg
078b3e17-1958-4311-b0cd-9a56e7f2ff38
Mapillary
2,834,691,673,447,367
no
https://www.mapillary.com/app/?pKey=2834691673447367&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940408
-69.026814
2020-03-08 11:34:22.661000-03:00
99
b1a10y0215fx4lcq05cbs9
train
img/4/078b3e17-1958-4311-b0cd-9a56e7f2ff38.jpeg
3e6c47c0-0037-4975-9543-e1a0976bf9de
Mapillary
137,476,115,036,772
no
https://www.mapillary.com/app/?pKey=137476115036772&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.941014
-69.027254
2020-03-08 11:34:18.031000-03:00
95
b1a10y0215fx4lcq05cbs9
train
img/4/3e6c47c0-0037-4975-9543-e1a0976bf9de.jpeg
d860cf05-a360-4944-84f7-74119e951c6a
Mapillary
372,993,500,804,918
no
https://www.mapillary.com/app/?pKey=372993500804918&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.939852
-69.026421
2020-03-08 11:34:28.193000-03:00
104
b1a10y0215fx4lcq05cbs9
train
img/2/d860cf05-a360-4944-84f7-74119e951c6a.jpeg
525eab8e-a252-4c1d-83ae-718122ca07ba
Mapillary
314,245,133,403,370
no
https://www.mapillary.com/app/?pKey=314245133403370&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.941928
-69.027908
2020-03-08 11:34:11.384000-03:00
89
b1a10y0215fx4lcq05cbs9
train
img/5/525eab8e-a252-4c1d-83ae-718122ca07ba.jpeg
ec6b0fee-1c3b-4a5e-ab39-f541bace672b
Mapillary
162,337,479,174,809
no
https://www.mapillary.com/app/?pKey=162337479174809&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940679
-69.027012
2020-03-08 11:34:20.488000-03:00
97
b1a10y0215fx4lcq05cbs9
train
img/1/ec6b0fee-1c3b-4a5e-ab39-f541bace672b.jpeg
e42c10e5-5c50-4fa4-bbeb-87e18c5b3ca9
Mapillary
222,493,512,641,912
no
https://www.mapillary.com/app/?pKey=222493512641912&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940539
-69.02691
2020-03-08 11:34:21.558000-03:00
98
b1a10y0215fx4lcq05cbs9
train
img/3/e42c10e5-5c50-4fa4-bbeb-87e18c5b3ca9.jpeg
63cefc7c-6a45-4323-a0bb-4ef592a90959
Mapillary
673,607,083,434,957
no
https://www.mapillary.com/app/?pKey=673607083434957&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.941472
-69.027581
2020-03-08 11:34:14.721000-03:00
92
b1a10y0215fx4lcq05cbs9
train
img/1/63cefc7c-6a45-4323-a0bb-4ef592a90959.jpeg
8c71ae95-4477-4c21-a10b-2b3b823499e7
Mapillary
226,839,982,132,294
no
https://www.mapillary.com/app/?pKey=226839982132294&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.942077
-69.028012
2020-03-08 11:34:10.293000-03:00
88
b1a10y0215fx4lcq05cbs9
train
img/2/8c71ae95-4477-4c21-a10b-2b3b823499e7.jpeg
f7ff7c33-0b00-4f3f-9a5d-1623dbc2588c
Mapillary
328,364,788,704,472
no
https://www.mapillary.com/app/?pKey=328364788704472&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.939951
-69.02649
2020-03-08 11:34:27.079000-03:00
103
b1a10y0215fx4lcq05cbs9
train
img/3/f7ff7c33-0b00-4f3f-9a5d-1623dbc2588c.jpeg
a33226c8-6791-4226-b884-c2d9db0c306f
Mapillary
1,062,304,020,965,452
no
https://www.mapillary.com/app/?pKey=1062304020965452&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940862
-69.027145
2020-03-08 11:34:19.118000-03:00
96
b1a10y0215fx4lcq05cbs9
train
img/6/a33226c8-6791-4226-b884-c2d9db0c306f.jpeg
b90c5bff-9294-4b02-aeba-24ae97cbbf45
Mapillary
386,487,156,034,164
no
https://www.mapillary.com/app/?pKey=386487156034164&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.939673
-69.026289
2020-03-08 11:34:30.383000-03:00
106
b1a10y0215fx4lcq05cbs9
train
img/4/b90c5bff-9294-4b02-aeba-24ae97cbbf45.jpeg
ad74f76a-1733-44d9-ae3c-346f7b0f7530
Mapillary
566,971,930,934,876
no
https://www.mapillary.com/app/?pKey=566971930934876&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940057
-69.026562
2020-03-08 11:34:25.986000-03:00
102
b1a10y0215fx4lcq05cbs9
train
img/2/ad74f76a-1733-44d9-ae3c-346f7b0f7530.jpeg
08f90444-f6e7-4e22-a3e2-b7334e59ac0e
Mapillary
1,179,928,785,792,813
no
https://www.mapillary.com/app/?pKey=1179928785792813&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.941623
-69.027689
2020-03-08 11:34:13.619000-03:00
91
b1a10y0215fx4lcq05cbs9
train
img/5/08f90444-f6e7-4e22-a3e2-b7334e59ac0e.jpeg
e796e615-8e7a-48e4-b24f-57871b0bca80
Mapillary
2,230,769,243,726,162
no
https://www.mapillary.com/app/?pKey=2230769243726162&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.941771
-69.027796
2020-03-08 11:34:12.533000-03:00
90
b1a10y0215fx4lcq05cbs9
train
img/1/e796e615-8e7a-48e4-b24f-57871b0bca80.jpeg
ca2d565f-d567-4b96-a5bb-7b481e0faae3
Mapillary
299,381,561,741,730
no
https://www.mapillary.com/app/?pKey=299381561741730&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.939763
-69.026355
2020-03-08 11:34:29.280000-03:00
105
b1a10y0215fx4lcq05cbs9
train
img/4/ca2d565f-d567-4b96-a5bb-7b481e0faae3.jpeg
10a3d5c8-7b4d-471b-8252-26620849b96a
Mapillary
472,341,480,694,575
no
https://www.mapillary.com/app/?pKey=472341480694575&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.941168
-69.027364
2020-03-08 11:34:16.927000-03:00
94
b1a10y0215fx4lcq05cbs9
train
img/1/10a3d5c8-7b4d-471b-8252-26620849b96a.jpeg
9c3c8431-e002-4156-aa01-97578a51a6c8
Mapillary
2,989,949,317,912,042
no
https://www.mapillary.com/app/?pKey=2989949317912042&focus=photo
random sample and manual label
Diego de Almagro
1,152,585,849
Chile
South America
-26.940284
-69.026724
2020-03-08 11:34:23.798000-03:00
100
b1a10y0215fx4lcq05cbs9
train
img/4/9c3c8431-e002-4156-aa01-97578a51a6c8.jpeg
d91aa51d-698c-4640-b7a9-2d2d9a81dceb
Mapillary
445,746,653,393,222
no
https://www.mapillary.com/app/?pKey=445746653393222&focus=photo
random sample and manual label
Zevenaar
1,528,993,139
Netherlands
Europe
51.939453
6.056633
2017-01-25 14:32:28+01:00
362
r6Yg1awvf9r55_7BzKhbHw
train
img/2/d91aa51d-698c-4640-b7a9-2d2d9a81dceb.jpeg
66ca0c7e-06e5-4d0d-8f84-d207bddb1de7
Mapillary
1,991,049,161,070,737
no
https://www.mapillary.com/app/?pKey=1991049161070737&focus=photo
random sample and manual label
La Banda
1,032,317,566
Argentina
South America
-27.755321
-64.267196
2019-12-07 19:20:56.809000-03:00
57
rrmvd772t0ugqagqe8nkli
train
img/3/66ca0c7e-06e5-4d0d-8f84-d207bddb1de7.jpeg
6513e96e-964a-47fa-8936-04f6bb78a056
Mapillary
140,759,084,706,540
no
https://www.mapillary.com/app/?pKey=140759084706540&focus=photo
random sample and manual label
Santiago del Estero
1,032,492,280
Argentina
South America
-27.755931
-64.267466
2019-12-07 19:20:50.882000-03:00
54
rrmvd772t0ugqagqe8nkli
train
img/5/6513e96e-964a-47fa-8936-04f6bb78a056.jpeg
eb72852c-7403-4bf4-b997-4eb495457504
Mapillary
328,315,691,972,787
no
https://www.mapillary.com/app/?pKey=328315691972787&focus=photo
random sample and manual label
Santiago del Estero
1,032,492,280
Argentina
South America
-27.756539
-64.267856
2019-12-07 19:20:44.887000-03:00
51
rrmvd772t0ugqagqe8nkli
train
img/5/eb72852c-7403-4bf4-b997-4eb495457504.jpeg
d4128464-7f65-49ad-8baa-40fbe4416dc5
Mapillary
194,211,242,443,515
no
https://www.mapillary.com/app/?pKey=194211242443515&focus=photo
random sample and manual label
La Banda
1,032,317,566
Argentina
South America
-27.755134
-64.267141
2019-12-07 19:20:58.858000-03:00
58
rrmvd772t0ugqagqe8nkli
train
img/3/d4128464-7f65-49ad-8baa-40fbe4416dc5.jpeg
0c907f6a-eacc-4a7e-8a1f-7e1c8f60dd33
Mapillary
794,360,608,140,867
no
https://www.mapillary.com/app/?pKey=794360608140867&focus=photo
random sample and manual label
Santiago del Estero
1,032,492,280
Argentina
South America
-27.756364
-64.267737
2019-12-07 19:20:46.735000-03:00
52
rrmvd772t0ugqagqe8nkli
train
img/1/0c907f6a-eacc-4a7e-8a1f-7e1c8f60dd33.jpeg
0dcb1428-bfdd-49be-87e3-8e27366d6a6a
Mapillary
396,201,244,889,620
no
https://www.mapillary.com/app/?pKey=396201244889620&focus=photo
random sample and manual label
La Banda
1,032,317,566
Argentina
South America
-27.755734
-64.267361
2019-12-07 19:20:52.712000-03:00
55
rrmvd772t0ugqagqe8nkli
train
img/4/0dcb1428-bfdd-49be-87e3-8e27366d6a6a.jpeg
fc096580-70d5-45ad-954f-f1510253e1db
Mapillary
466,867,207,712,589
no
https://www.mapillary.com/app/?pKey=466867207712589&focus=photo
random sample and manual label
Santiago del Estero
1,032,492,280
Argentina
South America
-27.756153
-64.267602
2019-12-07 19:20:48.809000-03:00
53
rrmvd772t0ugqagqe8nkli
train
img/4/fc096580-70d5-45ad-954f-f1510253e1db.jpeg
a8a1f331-7991-4999-b7a2-bdae2a67b356
Mapillary
4,290,765,970,980,868
no
https://www.mapillary.com/app/?pKey=4290765970980868&focus=photo
random sample and manual label
La Banda
1,032,317,566
Argentina
South America
-27.755524
-64.267264
2019-12-07 19:20:54.743000-03:00
56
rrmvd772t0ugqagqe8nkli
train
img/5/a8a1f331-7991-4999-b7a2-bdae2a67b356.jpeg
6553f862-a7e1-4ee2-902d-78b3cf4950a6
Mapillary
177,212,604,287,368
no
https://www.mapillary.com/app/?pKey=177212604287368&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.175699
51.314296
2019-07-03 22:26:58.272000+04:30
312
p8dkgr1jyss78nbi3z9jy6
train
img/5/6553f862-a7e1-4ee2-902d-78b3cf4950a6.jpeg
efae1f6b-cc95-4298-88c9-f0bb989b9359
Mapillary
490,550,372,186,873
no
https://www.mapillary.com/app/?pKey=490550372186873&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.175471
51.314505
2019-07-03 22:26:55.948000+04:30
296
p8dkgr1jyss78nbi3z9jy6
train
img/3/efae1f6b-cc95-4298-88c9-f0bb989b9359.jpeg
0cbf16e4-7c28-4630-a210-f074ac4fc57f
Mapillary
492,847,705,290,269
no
https://www.mapillary.com/app/?pKey=492847705290269&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.176811
51.314602
2019-07-03 22:27:06.048000+04:30
378
p8dkgr1jyss78nbi3z9jy6
train
img/2/0cbf16e4-7c28-4630-a210-f074ac4fc57f.jpeg
929cd75e-d14b-4d09-a60f-fac1c2d00c69
Mapillary
802,422,840,388,852
no
https://www.mapillary.com/app/?pKey=802422840388852&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.176136
51.314257
2019-07-03 22:27:01.546000+04:30
337
p8dkgr1jyss78nbi3z9jy6
train
img/6/929cd75e-d14b-4d09-a60f-fac1c2d00c69.jpeg
7b122b5e-092e-4c97-a612-59873c760dce
Mapillary
465,823,671,377,372
no
https://www.mapillary.com/app/?pKey=465823671377372&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.174634
51.315115
2019-07-03 22:26:48.605000+04:30
241
p8dkgr1jyss78nbi3z9jy6
train
img/1/7b122b5e-092e-4c97-a612-59873c760dce.jpeg
4adffbff-55a5-4d8f-aae2-415b6166fc39
Mapillary
287,701,232,792,827
no
https://www.mapillary.com/app/?pKey=287701232792827&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.176991
51.314614
2019-07-03 22:27:06.648000+04:30
388
p8dkgr1jyss78nbi3z9jy6
train
img/3/4adffbff-55a5-4d8f-aae2-415b6166fc39.jpeg
ac62c362-018d-4f43-bc18-81b3f486b756
Mapillary
797,326,607,870,365
no
https://www.mapillary.com/app/?pKey=797326607870365&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.1761
51.314243
2018-12-05 09:17:25.422000+03:30
39
ki0cdixivdofra56yj6dvw
train
img/6/ac62c362-018d-4f43-bc18-81b3f486b756.jpeg
bfaa9b3e-83ca-43a9-9f4d-ded2b3f433f7
Mapillary
832,471,700,683,937
no
https://www.mapillary.com/app/?pKey=832471700683937&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.174745
51.315052
2019-07-03 22:26:49.415000+04:30
248
p8dkgr1jyss78nbi3z9jy6
train
img/5/bfaa9b3e-83ca-43a9-9f4d-ded2b3f433f7.jpeg
fdf17967-046e-4fb8-9bfc-bf696ab37278
Mapillary
1,837,012,539,793,453
no
https://www.mapillary.com/app/?pKey=1837012539793453&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.177316
51.314895
2019-07-03 22:27:09.160000+04:30
414
p8dkgr1jyss78nbi3z9jy6
train
img/1/fdf17967-046e-4fb8-9bfc-bf696ab37278.jpeg
4da54df9-2c83-4598-aa43-288401221c0e
Mapillary
225,768,142,245,135
no
https://www.mapillary.com/app/?pKey=225768142245135&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.175652
51.31433
2019-07-03 22:26:57.829000+04:30
309
p8dkgr1jyss78nbi3z9jy6
train
img/5/4da54df9-2c83-4598-aa43-288401221c0e.jpeg
53657d0e-9568-40f3-890f-0dce48dce0e4
Mapillary
938,627,560,272,189
no
https://www.mapillary.com/app/?pKey=938627560272189&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.176398
51.314338
2019-07-03 22:27:03.282000+04:30
352
p8dkgr1jyss78nbi3z9jy6
train
img/4/53657d0e-9568-40f3-890f-0dce48dce0e4.jpeg
9e788c80-353f-41c6-8d69-649e34f87b69
Mapillary
157,854,502,950,885
no
https://www.mapillary.com/app/?pKey=157854502950885&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.175699
51.314318
2018-12-07 11:55:10.007000+03:30
234
8DL_SUCXSFS6V28z86I05g
train
img/4/9e788c80-353f-41c6-8d69-649e34f87b69.jpeg
a8e609ac-c05d-46e5-b054-a6118753c110
Mapillary
371,005,134,311,065
no
https://www.mapillary.com/app/?pKey=371005134311065&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.174738
51.315098
2018-12-07 11:55:01.707000+03:30
230
8DL_SUCXSFS6V28z86I05g
train
img/6/a8e609ac-c05d-46e5-b054-a6118753c110.jpeg
ec75d0cd-5cb7-4456-8673-db6d9c9a5059
Mapillary
506,001,950,758,557
no
https://www.mapillary.com/app/?pKey=506001950758557&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.175288
51.314623
2019-07-03 22:26:54.372000+04:30
284
p8dkgr1jyss78nbi3z9jy6
train
img/5/ec75d0cd-5cb7-4456-8673-db6d9c9a5059.jpeg
f6d28c50-583f-48ec-b5cc-b433feeb6255
Mapillary
1,241,267,469,624,826
no
https://www.mapillary.com/app/?pKey=1241267469624826&focus=photo
random sample and manual label
Lavāsān
1,364,266,184
Iran
Asia
36.177414
51.315082
2019-07-03 22:27:10.539000+04:30
425
p8dkgr1jyss78nbi3z9jy6
train
img/1/f6d28c50-583f-48ec-b5cc-b433feeb6255.jpeg
a7182672-b3aa-4095-b284-fd028601dbee
Mapillary
334,357,738,032,528
no
https://www.mapillary.com/app/?pKey=334357738032528&focus=photo
random sample and manual label
Debrecen
1,348,460,698
Hungary
Europe
47.529854
21.639075
2017-12-02 13:36:08.161000+01:00
592
6zpr8o7931caqflwdwvqyh
train
img/6/a7182672-b3aa-4095-b284-fd028601dbee.jpeg
639f1218-842f-40fb-8e92-7c6e951ec665
Mapillary
956,566,868,345,917
no
https://www.mapillary.com/app/?pKey=956566868345917&focus=photo
random sample and manual label
West Haven
1,840,004,852
United States
North America
41.275093
-72.969314
2021-07-11 06:03:56.697000-04:00
379
T9fD17IVwsiJFXevk2zOQC
train
img/5/639f1218-842f-40fb-8e92-7c6e951ec665.jpeg
35d17b46-ac0a-4dea-a680-3ac2429b79fd
Mapillary
2,971,229,786,468,848
no
https://www.mapillary.com/app/?pKey=2971229786468848&focus=photo
random sample and manual label
Marmagao
1,356,764,529
India
Asia
15.409954
73.794828
2019-03-20 10:31:29.489000+05:30
334
hRHJfe-vSpW09EHd-mZdfw
train
img/5/35d17b46-ac0a-4dea-a680-3ac2429b79fd.jpeg
d9928106-88a5-4aef-b941-2ae883b94c11
Mapillary
1,904,562,149,694,398
no
https://www.mapillary.com/app/?pKey=1904562149694398&focus=photo
random sample and manual label
Brandon
1,840,014,151
United States
North America
27.937607
-82.307736
2014-08-22 10:57:19.266000-04:00
35
W2d4fILDRvmCNFGYAdZRMA
train
img/1/d9928106-88a5-4aef-b941-2ae883b94c11.jpeg
39b5fc03-d89d-46e2-9570-267c8adf6722
Mapillary
295,566,248,851,356
no
https://www.mapillary.com/app/?pKey=295566248851356&focus=photo
random sample and manual label
Hanau
1,276,550,409
Germany
Europe
50.129585
8.913147
2014-05-10 12:10:08+02:00
7
T4fa3llpBHUx4tssFSKY8g
train
img/4/39b5fc03-d89d-46e2-9570-267c8adf6722.jpeg
7f439743-bb56-4432-bb69-41526862a9f0
Mapillary
1,060,462,924,871,678
no
https://www.mapillary.com/app/?pKey=1060462924871678&focus=photo
random sample and manual label
Gravatá
1,076,214,495
Brazil
South America
-8.196656
-35.556843
2022-05-09 12:55:41.750000-03:00
196
NAFJRE5ibGt3SxhkcPu7zp
train
img/6/7f439743-bb56-4432-bb69-41526862a9f0.jpeg
0fc9c547-6889-4d9f-a824-63fac7c5c487
Mapillary
532,858,918,093,055
no
https://www.mapillary.com/app/?pKey=532858918093055&focus=photo
random sample and manual label
Kansas City
1,840,008,535
United States
North America
39.120784
-94.564594
2018-10-06 15:59:41.631000-05:00
354
pwvgr0x6j7t98r5mgz10iu
train
img/2/0fc9c547-6889-4d9f-a824-63fac7c5c487.jpeg
ed93f81e-49f7-4c45-a0a7-37e9c2b1c55d
Mapillary
278,652,547,253,159
no
https://www.mapillary.com/app/?pKey=278652547253159&focus=photo
random sample and manual label
Hanau
1,276,550,409
Germany
Europe
50.127292
8.909284
2014-06-03 13:02:29+02:00
105
0IX5Le4znvAsThyCpr-lEA
train
img/4/ed93f81e-49f7-4c45-a0a7-37e9c2b1c55d.jpeg
8f9ea558-cfad-468b-a3bf-5ec694a20c8f
Mapillary
494,139,672,000,209
no
https://www.mapillary.com/app/?pKey=494139672000209&focus=photo
random sample and manual label
Dearborn
1,840,003,969
United States
North America
42.310621
-83.226446
2017-11-07 14:10:02.085000-05:00
137
ji1xns2yADqHzy0QSbo5qA
train
img/6/8f9ea558-cfad-468b-a3bf-5ec694a20c8f.jpeg
8449bd63-b4d9-4bc1-ab45-96100e1aca13
Mapillary
303,878,937,877,062
no
https://www.mapillary.com/app/?pKey=303878937877062&focus=photo
random sample and manual label
Cancún
1,484,010,310
Mexico
North America
21.154357
-86.84377
2020-09-22 08:04:17-05:00
168
brm2czcd21tfc961qqzijc
train
img/5/8449bd63-b4d9-4bc1-ab45-96100e1aca13.jpeg
c022c452-038a-4996-8528-7124b5850487
Mapillary
985,639,815,306,934
no
https://www.mapillary.com/app/?pKey=985639815306934&focus=photo
random sample and manual label
Helsinki
1,246,177,997
Finland
Europe
60.184795
24.933316
2018-07-16 17:38:29+03:00
781
bGfHXwPiEbBpwhBGdy5AJQ
train
img/6/c022c452-038a-4996-8528-7124b5850487.jpeg
161f0b09-9d27-40e8-bafb-a81c649b8395
Mapillary
525,030,598,525,906
no
https://www.mapillary.com/app/?pKey=525030598525906&focus=photo
random sample and manual label
Monterrey
1,484,559,591
Mexico
North America
25.66423
-100.302681
2020-03-02 11:38:57.590000-06:00
1
4h7wwyp75397fq9fhb3wd5
train
img/1/161f0b09-9d27-40e8-bafb-a81c649b8395.jpeg
5765de71-a626-4fb7-a958-1b2f8f520db9
Mapillary
222,088,019,335,040
no
https://www.mapillary.com/app/?pKey=222088019335040&focus=photo
random sample and manual label
Monterrey
1,484,559,591
Mexico
North America
25.670965
-100.30215
2020-02-27 11:09:03.590000-06:00
50
dsr0e3fpbmebuqdok7gkzn
train
img/5/5765de71-a626-4fb7-a958-1b2f8f520db9.jpeg
d92e7d05-743b-4aa5-902f-6b912298aa3f
Mapillary
255,923,762,987,787
no
https://www.mapillary.com/app/?pKey=255923762987787&focus=photo
random sample and manual label
Moscow
1,643,318,494
Russia
Europe
55.762155
37.624172
2020-08-04 09:00:31.320000+03:00
64
8nltapnyqijt9gy0c1godw
train
img/2/d92e7d05-743b-4aa5-902f-6b912298aa3f.jpeg
5069bc14-817d-4903-be63-1838451fc02a
Mapillary
3,831,013,896,997,692
no
https://www.mapillary.com/app/?pKey=3831013896997692&focus=photo
random sample and manual label
Orléans
1,250,441,405
France
Europe
47.906371
1.910022
2020-09-18 17:45:32.734000+02:00
498
emszjijqrfe4q6j92z272e
train
img/3/5069bc14-817d-4903-be63-1838451fc02a.jpeg
5358d5b0-e8fc-47db-b358-6653357aa028
Mapillary
513,854,883,289,741
no
https://www.mapillary.com/app/?pKey=513854883289741&focus=photo
random sample and manual label
Philadelphia
1,840,000,673
United States
North America
40.000272
-75.142429
2018-08-28 15:11:24.296000-04:00
238
6pwhicb6bibv8pgtug1hwa
train
img/5/5358d5b0-e8fc-47db-b358-6653357aa028.jpeg
688e8214-a78f-4a64-9367-75b058d1ac10
Mapillary
781,757,492,512,428
no
https://www.mapillary.com/app/?pKey=781757492512428&focus=photo
random sample and manual label
Redmond
1,840,019,835
United States
North America
47.670803
-122.106836
2018-07-31 08:10:42.582000-07:00
117
1px35d4t4rxujmfm37mcw5
train
img/2/688e8214-a78f-4a64-9367-75b058d1ac10.jpeg
c1a438cb-f031-44e6-a880-994a1b0a066e
Mapillary
794,251,901,520,558
no
https://www.mapillary.com/app/?pKey=794251901520558&focus=photo
random sample and manual label
Amsterdam
1,528,355,309
Netherlands
Europe
52.373592
4.881508
2017-03-04 16:55:00.575000+01:00
458
I92ZRcEgYjCcSPgPuVZyUA
train
img/6/c1a438cb-f031-44e6-a880-994a1b0a066e.jpeg
00de81fc-d5d7-463b-82f2-0ab1b9f2f6d3
Mapillary
155,626,406,521,648
no
https://www.mapillary.com/app/?pKey=155626406521648&focus=photo
random sample and manual label
Donostia
1,724,910,555
Spain
Europe
43.31852
-1.979218
2020-04-23 08:44:48.736000+02:00
56
8stts5inztcuh3yilgzlei
train
img/3/00de81fc-d5d7-463b-82f2-0ab1b9f2f6d3.jpeg
6c8d3fca-d9da-4e41-8aad-608b13a5a810
Mapillary
520,744,618,938,239
no
https://www.mapillary.com/app/?pKey=520744618938239&focus=photo
random sample and manual label
Zemun
1,688,453,076
Serbia
Europe
44.851804
20.395619
2019-01-29 14:34:04+01:00
16
nMqJT1fl2h4sIFuUhOk8ig
train
img/5/6c8d3fca-d9da-4e41-8aad-608b13a5a810.jpeg
84ae4416-6642-4110-9e04-43e43684a610
Mapillary
181,639,447,171,385
no
https://www.mapillary.com/app/?pKey=181639447171385&focus=photo
random sample and manual label
Moscow
1,643,318,494
Russia
Europe
55.757615
37.628496
2020-09-02 14:06:54.965000+03:00
195
fbhgwys31ahzkkmgj2e1yl
train
img/4/84ae4416-6642-4110-9e04-43e43684a610.jpeg
End of preview.