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cipual
/

CMA-Loc

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Geospatial

Tags:

geolocation

cross-view-localization

remote-sensing

aerial-imagery

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xet

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Split (3)

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
city: string
mono_filename: string
mono_point: list<item: double>
  child 0, item: double
mono_bbox: list<item: double>
  child 0, item: double
mono_segmentation: struct<size: list<item: int64>, counts: string>
  child 0, size: list<item: int64>
      child 0, item: int64
  child 1, counts: string
sat_filename: string
sate_bbox: list<item: double>
  child 0, item: double
sate_segmentation: struct<size: list<item: int64>, counts: string>
  child 0, size: list<item: int64>
      child 0, item: int64
  child 1, counts: string
rotation: double
camera_position: list<item: double>
  child 0, item: double
sate_point: list<item: double>
  child 0, item: double
task_type: string
size_category: string
shape_category: string
relative_pitch: double
relative_roll: double
relative_yaw: double
to
{'city': Value('string'), 'mono_filename': Value('string'), 'mono_point': List(Value('float64')), 'mono_bbox': List(Value('float64')), 'mono_segmentation': {'size': List(Value('int64')), 'counts': Value('string')}, 'sat_filename': Value('string'), 'sate_bbox': List(Value('float64')), 'sate_segmentation': {'size': List(Value('int64')), 'counts': Value('string')}, 'camera_position': List(Value('float64')), 'sate_point': List(Value('float64')), 'relative_pitch': Value('float64'), 'relative_roll': Value('float64'), 'relative_yaw': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              city: string
              mono_filename: string
              mono_point: list<item: double>
                child 0, item: double
              mono_bbox: list<item: double>
                child 0, item: double
              mono_segmentation: struct<size: list<item: int64>, counts: string>
                child 0, size: list<item: int64>
                    child 0, item: int64
                child 1, counts: string
              sat_filename: string
              sate_bbox: list<item: double>
                child 0, item: double
              sate_segmentation: struct<size: list<item: int64>, counts: string>
                child 0, size: list<item: int64>
                    child 0, item: int64
                child 1, counts: string
              rotation: double
              camera_position: list<item: double>
                child 0, item: double
              sate_point: list<item: double>
                child 0, item: double
              task_type: string
              size_category: string
              shape_category: string
              relative_pitch: double
              relative_roll: double
              relative_yaw: double
              to
              {'city': Value('string'), 'mono_filename': Value('string'), 'mono_point': List(Value('float64')), 'mono_bbox': List(Value('float64')), 'mono_segmentation': {'size': List(Value('int64')), 'counts': Value('string')}, 'sat_filename': Value('string'), 'sate_bbox': List(Value('float64')), 'sate_segmentation': {'size': List(Value('int64')), 'counts': Value('string')}, 'camera_position': List(Value('float64')), 'sate_point': List(Value('float64')), 'relative_pitch': Value('float64'), 'relative_roll': Value('float64'), 'relative_yaw': Value('float64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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city string	mono_filename string	mono_point list	mono_bbox list	mono_segmentation dict	sat_filename string	sate_bbox list	sate_segmentation dict	camera_position list	sate_point list	relative_pitch float64	relative_yaw float64
Newyork	r170_40.678538,-73.985951_2020-11_4Es4h548WQp70Odw08AWCA_d64_z2.jpg	[ 87, 207 ]	[ 0, 17.2481871148, 182.5131740047, 294.1934303569 ]	{ "size": [ 518, 518 ], "counts": "b0U9Q701O1O1O1N2O1O1O1O1N101O1O1O1N2O1O1O1O001N2O1O1O1O1N2O1O1O001N2O001O1O001N2O001O1O0O2O001O1O0O2O1O001O1O0O4M3M1O1O1N2O1O001O1O1N2O001O1O1O1N101O1O1O1N2O001O1O1O1N101O1O1O1O0O2O1O1O1O001N2O1O001O1N2O001O1O1N2O001O1O1N101O1O1O1N2O2N1O1O1N3N001O1N101O1O1O0O2O1O001O1N2O...	40.678538,-73.985951_2020-11_4Es4h548WQp70Odw08AWCA_d64_z2.jpg	[ 326.53, 681.15, 250, 250 ]	{ "size": [ 1280, 1280 ], "counts": "^ci<7hW12M3N1N3M2O2M2O2M2O1N3M2O2M2O1N3M2O1N3N1O20O0010O0010O00010O010O00010O00010O010O00010O010O00010O00010O010O00010O01O01O010O01O01O01O0ZMbNknN]1SQ1iNinNX1UQ1iNlnNV1RQ1lNnnNU1PQ1lNPoNT1oP1nNQoNQ1mP1QOSoNP1kP1QOUoNo0iP1SOXoNm0fP1UOYoNk0fP1VO[oNi0cP1YO]oNh0aP1XO`oNh0^...	[ 640, 640 ]	[ 494, 753 ]	90	-74
Moscow	r10_55.74869593,37.70309683_2021-06_KPDxpSsqmiXPiPUou1a8LQ_d111_z3.jpg	[ 439, 97 ]	[ 324, 0, 194, 293 ]	{ "size": [ 518, 518 ], "counts": "mPT56n?7Io0^@^OY1ZOeN1l;`2lDVNn:m1[DgMNb0d;`3M3O1N1N3M2N201L3N2N4M100N3L300M300O2M1N3N2O10ON4L300O1N2O1M4O0M3O100M3M3M3O1M4N1M300O1M3O1O2L4N100L400O1L400O1L400O3M1L400O1L4O100O1O1L4O2N1L400O1O1O1O1M3000000000001O000000001O00001O00000000000000000000O100000000001O0000VMjHe...	55.74869593,37.70309683_2021-06_KPDxpSsqmiXPiPUou1a8LQ_d111_z3.jpg	[ 580.1591491699, 710.3786570231, 341, 320 ]	{ "size": [ 1280, 1280 ], "counts": "hhef01oW13M3L4M3M3L4M3M3L3N3L4M3M3L4M3M3L4M3M3L4M2N3L4M2N0O10O10O10O10O10O10O10O10O10O10O10O10O10O01000O010O10O10O10O10O10O10O10O10O10O10O10O10O10O10O10O10O10O10O10O10O01000O01000O01000O01000O01000O01000O01000O01000O01000O01000O0100O01000O01000O01000O01000O01000O01000O...	[ 640, 640 ]	[ 792, 765 ]	90	79
Berlin	drone_Berlin_grid_398_3_real.png	[ 198, 364 ]	[ 143, 339, 99, 57 ]	{ "size": [ 1024, 1024 ], "counts": "Z\\_41ko05M3M2N1N3N1O1N3N1O2M2O2N2N2N1O1O2N1O2N101N1O2O001O1O100O100000000000001O000000000000001O01O0000000000000001O0001O00000000001O01O00001OO101O000001O000001O00000000001O00000O1001O01O001O001O001N2O<@6_OSe\\h0" }	sate_Berlin_grid_398_real.png	[ 910, 372, 46, 34 ]	{ "size": [ 1024, 1024 ], "counts": "V\\^l0>Xo0:H80000000001O000001O0000000001O00000001O0000000001O0000000001O0O1000000O1000000O101O0O1E;EcdR2" }	[ 512, 512 ]	[ 928, 389 ]	45	92
Newyork	r10_40.722146,-73.996719_2019-06_awlvIC7bFHY3tLsI-bcQoQ_d61_z2.jpg	[ 461, 55 ]	[ 405.0074618865, 0, 111.9925381135, 344.3451987847 ]	{ "size": [ 518, 518 ], "counts": "RP]6b5`6T401O001O00001O00001O00001O00001O00001O001O00001O00001O00001O00001O0000001O00001O0000001O0000001O00001O0000001O00001O0000001O00001O0000001O00001O0000001O00001O00001O0000001O00001O00001O0000001O00001O00001O0000001O00001O000V`0" }	40.722146,-73.996719_2019-06_awlvIC7bFHY3tLsI-bcQoQ_d61_z2.jpg	[ 501.38, 696.33, 167.5, 257.5 ]	{ "size": [ 1280, 1280 ], "counts": "T]dc03kW12M4M2N2M3N3L3N2N2M4M2M3N2M4M2N2M3N3L3N2N2M4M2M3N2M4M2N2M3N3L3N2N2M4M2M3N2M4M2N2M3N3L3N2N2M4M2M3N2M4M2N2M3N3L3N2N2M4M2M3N2N3L3N2M3N3L3N2N2M4M2M3N2N3L3N0O2O0O2O000O2O0O2OO1O010O010O010O1O010O010O103L3M4M2M4M2M4M2M4L3N2M4M2M4L3N3L3N3L3N3L3M3N3L3N3L3N3L3M4M2M4M2M3...	[ 640, 640 ]	[ 564, 886 ]	90	129
Berlin	drone_Berlin_grid_668_1_real.png	[ 676, 509 ]	[ 589, 439, 153, 144 ]	{ "size": [ 1024, 1024 ], "counts": "a_]b02no01N4M2M3M4N0O2N2lN]OgROd0Wm0^OgROe0Vm0\\OhROh0Vm0XOjROi0Tm0YOkROg0Um0YOkROi0Sm0WOlROl01TO\\O7nk0JcTOn0BlN1n0hk0YOdTOP1_O6lk0kNdTOQ1\\O6Pl0oN^TO^2bk0hMXTOX2gk0jMWTOX2hk0hMWTOY2ik0hMVTOX2jk0iMUTOW2kk0iMUTOW2kk0jMTTOV2lk0jMSTOW2mk0n000O10000O100000000O010000000O10...	sate_Berlin_grid_668_real.png	[ 630, 216, 42, 40 ]	{ "size": [ 1024, 1024 ], "counts": "lWfc02lo02^Ob0A`0N100000002OO00000000000000000000000000000000000000000000000000000000001M2O1N2I]in:" }	[ 512, 512 ]	[ 652, 236 ]	45	17
Paris	r170_48.88711132,2.29900299_2022-05_McDGnPaKLiNP2GGeWzWqQw_d95_z3.jpg	[ 103, 50 ]	[ 0, 0, 183, 295 ]	{ "size": [ 518, 518 ], "counts": "0W1a4X2^2iMaMW2_2iMaMW2_2jM`M1jKb0f6^O_M0kKb0f6^O`MOjKc0f6_OaMCTLl0[6B`MBULl0[6B`MBULl0[6C_MAVLl0[6AdM]OVLo0W6DcM]OVLo0W6EbM\\OWLo0W6FcMWOZLQ1S6HcMWOZLQ1S6IbMWOZLP1T6JbMUOZLQ1T6GPNkNnK^1R6HoMjNoK^1R6InMiNPL]1S6JTOUOoI8m6d0SOTOPJ8m6e0ROSOQJ8m6e0TOlNYJ:c6k0SOkNZJ:c6l0ROjN[...	48.88711132,2.29900299_2022-05_McDGnPaKLiNP2GGeWzWqQw_d95_z3.jpg	[ 567.097669329, 685.4158281599, 146, 206 ]	{ "size": [ 1280, 1280 ], "counts": "h]Uf07iW1<D=C=C=C<D=C=C=C<D=B>Ck0UO1O2N1O2N1O2N1O2N1O2N1N3N1O2N0000000000000000O10O100000\\LdnNd0\\Q1TOYoN?gP1AgoN1YP1OTPODlo0<aPOWO_o0i0nPO\\N^MAeQ1S2[QOnMRo0R2^3000O1000000000000000000000000O10005K0000000000000000000O1000O1M3L40000000000000O10000000000000O1000000000O...	[ 640, 640 ]	[ 633, 728 ]	90	-105
Paris	drone_paris_grid_89_2_real.png	[ 121, 316 ]	[ 0, 232, 241, 203 ]	{ "size": [ 1024, 1024 ], "counts": "X7]3cl000O10001N1000000001O001O1O001O001O0010O0001O001O01O00001O001O00000001O0010OO2O001O0010O000000010O00000000000O1N3M2O2O1O001O000001O010O00010O1O1O010O000010O01O1O1O01O000010O2O0O001O100O001O1O1O1O1O01000O100O010O01N10001N101O0O10001O00000000000O20O01O001N1000001O0...	sate_paris_grid_89_real.png	[ 0, 520, 91, 131 ]	{ "size": [ 1024, 1024 ], "counts": "oa0]2am02O1O0O2O1O1N101O1N10XOjROfNWm0Z1kROdNTm0\\1nROcNRm0]1PSO`NQm0`1QSO^Nnl0b1USO\\Nkl0d1WSOYNjl0g1WSOXNhl0h1[SOVNel0j1]SOSNdl0m1^SOQNal0P2g0O10O10O10O10O10O10O10O10O2O001N2O1O0O10O10O10001O1N2O1O1N2O1O1N2O1O1N2O1O1N2O100000000O2O1O1O001O1O001O1O1N101O1O1O0O2M3N2N1N...	[ 512, 512 ]	[ 56, 539 ]	45	-75
London	r-170_51.51469854,-0.14640858_2024-08_040_NA5_v0ArFnJMrfPBGg_d281_z3.jpg	[ 312, 208 ]	[ 243, 153, 113, 112 ]	{ "size": [ 518, 518 ], "counts": "lTk35m?5N1O2N100N4M2N2N1O2N3K4L5L5M0O00L52M4M4K3L2O2NDlAiNR>U1RBiNm=W1<5L30N400O1O100000N2O100O1O2M2N3YBYNm<h1QCZNm<g1SCYNl<h1TCXNk<j1TCVNk<k1UCUNi<n1UCSNj<o1UCQNh<S2VCnMi<T2VClMa<_2]CbM`<a2^C`Ma<b2]C_Mc<c2ZC^Md<S301O0O01000001O00011N7J1N1O1N101O1O001O001O0O101O1N101N101...	51.51469854,-0.14640858_2024-08_040_NA5_v0ArFnJMrfPBGg_d281_z3.jpg	[ 761.8659647624, 647.5826761882, 216, 189 ]	{ "size": [ 1280, 1280 ], "counts": "TUim02mW12M4M2N2N3M2N3M2O2N1O2N1O2N1N3N1O2N1O2N1N3N1O2N1O2N1O2M2O2N1O2N1O2M2O2N1O2N1O2N1N3N1O2N1O2N1N2O2N1O2N1O2N1N3N1O2N1O2N1N3N1O2N1O2N1O2M2O2N1O2N1O2M2O2N1O2N1O2M2O2N1O2N1O2N1N10O100O1O10O01O100O1O010O1O10O01O100O1O010O1O10O01O100O1O010O1O100O001001O100010O100O010O1...	[ 640, 640 ]	[ 856, 713 ]	90	89
Tokyo	r170_35.69526079,139.78576718_2022-07_fhZaKIdKGgXC1OPq40SL8A_d246_z3.jpg	[ 40, 40 ]	[ 0, 0, 161, 293 ]	{ "size": [ 518, 518 ], "counts": "0n8X700002N00001O0000002N00001O0000000000000000O12N0000000000O10000000000001O00000000000000N200000000O10000hIYIP3h6QMXIn2h6RMXIm2i6QM`InNAc1X7@WImNAb1X7AWImNAb1X7@]IiN_Ol0OjMZ7a2XIjN^Ok00jMZ7b2WIiN_Oi0n7>dHhN^Oj0n7?cHgN@i0m7>fHiN^Og0l7a0eHhN_Og0l7?jHgNZOi0m7a0hHgNZOh0n7a...	35.69526079,139.78576718_2022-07_fhZaKIdKGgXC1OPq40SL8A_d246_z3.jpg	[ 634.5508575941, 536.0006659407, 72, 83 ]	{ "size": [ 1280, 1280 ], "counts": "hZjh02lW12N2N3L3N2M4M2M3N3L3N3J5N3M2N2N3L3N2M3N3L3N3L3N3J50010O01O0010O010O0010O010O00010O0010O0010O0K5O1N3L3N3J5N3M2N3M2K5N3M2N3M2K5N3M2N3M2K5N3M2Nhn\\f0" }	[ 640, 640 ]	[ 669, 580 ]	90	104
London	drone_london_grid_551_3_real.png	[ 549, 430 ]	[ 520, 402, 59, 87 ]	{ "size": [ 1024, 1024 ], "counts": "Y^X`04To0k0G9[OkNnQOi1fm0;L3^ROhM[m0Y2cROkM\\m0^2N010O00O10O10001O000000001O0000001O000000000000000001O0000000000000000000O2M2M3M3O1D_ROUNem0g1<M3L4I7J6K6I6L5J7G^ck=" }	sate_london_grid_551_real.png	[ 475, 69, 27, 51 ]	{ "size": [ 1024, 1024 ], "counts": "iRk>4lo03M6J6J7dPOXORo0m0M100000000O10001L3C=000000O10000000000OJ7A?@[nX`0" }	[ 512, 512 ]	[ 489, 99 ]	45	-5
Moscow	r-170_55.75089259,37.59944693_2021-05_sHTDuicgD120sq8oITR2-Q_d106_z3.jpg	[ 89, 126 ]	[ 0, 0, 183, 348 ]	{ "size": [ 518, 518 ], "counts": "0k:[500001O000000O1000000O1000000O1000000O1N20000O1000000O10000N200O1N20000N200O1000000N200O100000000O1N200000000O10000N20000O100000000O1000000N2000000O1O1O100000000O100000000N2000000O10000N20000000000O100O1O1O10000N2000000N200000000O100O10000O100O1000000O1O1000000N2O100...	55.75089259,37.59944693_2021-05_sHTDuicgD120sq8oITR2-Q_d106_z3.jpg	[ 526.6317863464, 649.7411499023, 298, 157 ]	{ "size": [ 1280, 1280 ], "counts": "e^cd03lW14M4L3L4M4L3M4K4M4L3M3L5L3M4K4M3M4L3L5L3M4L3L4M1OO10O1000O0100000O01000O10O1000O10O1000O0100000O0100000O010000O0100000O0100000O0100000O01000O10O1000O10O1000O10O10O10O1000O10O1000O10O1000O10O10O1000O10O1000O10O1000O0100000O0100000O0100000O010000O0100000O010000O0...	[ 640, 640 ]	[ 765, 713 ]	90	-96
London	drone_london_grid_354_1_real.png	[ 428, 642 ]	[ 389, 604, 93, 91 ]	{ "size": [ 1024, 1024 ], "counts": "gcU<6go0:H:F7J4K2N1O2N2M2O2N1O2M3N101O0O1O2N2O1O1K5N2O0O1O2O001O010O10O01O1O001O1O00001N10000O2O00001O002N1O1O1O0001O100O2N2O000O1O100lMaROe1`m0=2N1N1\\OmROZNTm0b1g0L4N2N2O1N2N2N3N1O1N3O0O1O1O2O0O2O0O2O0O2N3L4L5LX\\l`0" }	sate_london_grid_354_real.png	[ 777, 623, 33, 34 ]	{ "size": [ 1024, 1024 ], "counts": "fcYh01oo01N101N3N2M102N2M3N2hPO_Oln0e0QQO]Omn0e0PQO\\Oon0l0O0O2O01O001N100O2O2M3N2M3N2M3N2M3N2M3N3Lh[d6" }	[ 512, 512 ]	[ 792, 633 ]	45	120
Newyork	drone_newyork_grid_595_1_real.png	[ 747, 903 ]	[ 620, 801, 246, 222 ]	{ "size": [ 1024, 1024 ], "counts": "ik\\c09`o09K4M3E;FC_QONQn0a0oQOQOO6nm0e1MEVROeNfm0^1[RObNcm0_1]RObNbm0_1\\RObNcm0o1N2NUNaROW1^m0g0N2N^OfRObNWm0_1iRObNVm0T2O10WOkRO]N3HQm0l1lRO\\N4Hnl0\\2SSOcMml0_2QSObMnl0h1PSOXN071Iml0R1RSOWOOG10071Ijl0V1TSO12iNjl0m20UMTSO>1G2`0MAPm0KPSO=1AON3h0MB3Cel0[1\\SO<_l0CaSOa...	sate_newyork_grid_595_real.png	[ 496, 220, 90, 85 ]	{ "size": [ 1024, 1024 ], "counts": "]X`?1mo03N1N3M3N1N3M201N2M2O1N1O011N3M2O2M3TQOnNfn0X1N2M2N3N1N3M3N1N3M2O2M2O200O0100O010O010O10O10O0[NSROW1nm0gNTROV1om0gNSROZ1lm0dNWRO[1jm0cNXRO]1gm0aN[RO_1Tn00dQOaNUn0`1iQObNWn0c110O010O01000O010ON3N2M2N3M2K]QOlNdn0S14O000100O1001O2M3M2M4M2O2M2N3O10OO2M2N3N2M2N3N1NSh...	[ 512, 512 ]	[ 534, 264 ]	45	-14
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London	drone_london_grid_368_2_real.png	[ 329, 404 ]	[ 265, 321, 147, 141 ]	{ "size": [ 1024, 1024 ], "counts": "\\[Y83io06N4K2HEiPO;Wo0FhPO<Vo08O3M4QQORO1000Sn0W1iQOnNOM72cm0b1ZRO`Nfm0m10AVROhNjm0i1O=VO^MVSOOOf2el0^MXSO02c2cl0eM]SO\\2`l0gM^SOZ2`l0d000O103L4iSO[Lmk0P4L000000GSTO_Lmk0a3STO_Llk0j31O1eMRTOb0Pl0^OPTOb0ok0g11000O1L4N20iLVTOXO1h2hk0QNWTOWO1i2gk0X100O11O001O0O1000001O1O...	sate_london_grid_368_real.png	[ 23, 796, 185, 189 ]	{ "size": [ 1024, 1024 ], "counts": "^jg03lo04L4M2M4M3L3N3L4M3L3N3L4M2M4M3L4M2M4M3L010O010O01O010_NTROm0lm0TOVROj0jm0UOYROh0gm0YO[ROd0fm0[O]ROc0bm0^O`RO?am0@bRO>]m0CeRO:\\m0EgRO8Ym0IiRO5Wm0JlRO3Tm0NnRO0Rm00PSOMPm03SSOJnl06TSOHkl0;USOBll0`0TSO]Oll0f0V12M3N2M3N1N3N2M3N2M3N2M3N2M3N2M2OO010O0101N2O2M3N2N2M3N2...	[ 512, 512 ]	[ 106, 844 ]	45	-118
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London	drone_london_grid_237_1_real.png	[ 38, 850 ]	[ 0, 791, 111, 108 ]	{ "size": [ 1024, 1024 ], "counts": "gh0U3kl000010O00001O000010O01O00001O01O000001O0001O00001^MXSOj1hl0h0O001O01O000O101N1N3N1N2N3O0O1O2O2O1N9HO000000O10O10O010O00O2M20000O0020O001O001O100O1O101N1O1O100O101N1O100N2O1O1O2O0N2O100O1O1O1O2O0O1O2N2N1O2N2N3N1N3M4M2M3N1O2M4M2N3L5IRV_l0" }	sate_london_grid_237_real.png	[ 437, 871, 112, 120 ]	{ "size": [ 1024, 1024 ], "counts": "cke=2jo05L5N1O1O2M2O2N1O1O2N00O100O00100O100O1O15K2M2O2N1O2O0010OO2N1N3M2O2M2N3N0O00124K001M2O2M2O2M2N3O010O010O010O00N3M25L0O0010O005LM2O2O0010O01O010O01N1O2N15LO010O013LO2N101OO1N3N1N3M2O2M2N3N1N3M2O2M2N5L2M002O2M2N2O2M2N3M2O1N6JkQi>" }	[ 512, 512 ]	[ 513, 944 ]	45	-137
Paris	drone_paris_grid_193_2_real.png	[ 34, 967 ]	[ 0, 878, 69, 145 ]	{ "size": [ 1024, 1024 ], "counts": "`k0`4`k00O1000000000000O11O001O0000O100O1001O00001O00001O1O00001O5K6J1O1O1O2N1O1O1O2N1O2N1O1O2N1O1O1O3M2N1O2N1O2N2N1O2N3M2N1O2N2N2N1O1O1O4L5K7VOUROmN]n04aRim0" }	sate_paris_grid_193_real.png	[ 603, 337, 52, 54 ]	{ "size": [ 1024, 1024 ], "counts": "mZkb07go0=C=C`0A1O100O10O100000000000000000O0100000000000000000O01000000000000000000O0100000000000O1O103L:F9G:F:FZd_;" }	[ 512, 512 ]	[ 629, 363 ]	45	86
Moscow	r170_55.73784983,37.63275542_2019-05_6p9PcZmssJoKZKcanLR9Tw_d292_z3.jpg	[ 15, 140 ]	[ 0, 0, 38, 365 ]	{ "size": [ 518, 518 ], "counts": "0];i40000N2O10000O10000O10000oNXKdFh4\\9WKdFj4\\9VKdFj4[9WKeFi46gKWO<b5ZOPKd0WOT4Q1bKVO<a5ZOPKd0YOT4Q1aKUO=a5ZOPKd0YOT4:[Ne0lL@GC0g06:T1SOn44UMe0mL_OFD0g06:S1TOo44UMc0mLAFB0h079R1UOm8d0[H_Oh9`0XF@h9`0XF@k9:R30001N101O011L3O012K21eeb7" }	55.73784983,37.63275542_2019-05_6p9PcZmssJoKZKcanLR9Tw_d292_z3.jpg	[ 501.0079956055, 525.3890228271, 125, 120 ]	{ "size": [ 1280, 1280 ], "counts": "`ibc02nW12M4M2N2M4M2N3L3N3M2M4M2M4M2N3L3N3M2M4M2N3L3N3L3N3M2M4M3M3L4M3M3L2O0O0100O010O10O010O10O10O10O10O10O10O100O0100O01000O010O10O10O010O10O10O10O01000O010O01000O0100O01000O010O0100O010O0101O2M4M3L4M2N3L4M3L3N3M3L4M2N3L4M3M2M4M3M3L3N3M3L4M2N3L4M2N2M3N2Nol`i0" }	[ 640, 640 ]	[ 565, 584 ]	90	58
Chicago	drone_chicago_grid_297_2_real.png	[ 123, 682 ]	[ 0, 603, 252, 153 ]	{ "size": [ 1024, 1024 ], "counts": "hc0U3kl00O1M3M4N1O1N2N2N2O1N3N1N2O1N2N2O1O10001N100001O000000010O000000000000010O000000000001O000001O0001O0001O0000000001O000000000001O01O000000000000010O000000000000001O01O0000000001O01O000001O00000001O01O00000000001O00000000001O00000000010O000000001O0001O00000000010O...	sate_chicago_grid_297_real.png	[ 362, 294, 53, 28 ]	{ "size": [ 1024, 1024 ], "counts": "VYZ;f0Zo07I000000000000000000000000000000000000000000000000O100000000000000000000000000000000000000000000000000000jfob0" }	[ 512, 512 ]	[ 376, 308 ]	45	-11
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Chicago	drone_chicago_grid_471_1_real.png	[ 610, 112 ]	[ 574, 63, 142, 127 ]	{ "size": [ 1024, 1024 ], "counts": "[Sna0<bo02N3M4M2O1O1O1M4M2N2N2N2M3N1O2N2M4M3M2N2N1N2O2O0O1N3N101N1N3N1O2N2M3N3M4L6J4L2O0000000001N1N3L3N3M3N2L3N3N3L3M2O3L3N2M3N2N2M2N3K5K6L3M2M4O2M2M2O3M3N1M2O1O100O1O1O100O100000000001O002N2O0O100ZQOGcm0`0TROBlm0c0nQO^ORn0Y1N11O010O0100O011O01000`RO^N^l0d1^SO`Nal0`1X...	sate_chicago_grid_471_real.png	[ 93, 308, 50, 28 ]	{ "size": [ 1024, 1024 ], "counts": "eYm2j0Vo01O00001O00000000000000000000000000000000000000000000000O1000000000000000000000000000O1000001O1O001OYf_k0" }	[ 512, 512 ]	[ 127, 322 ]	45	-69
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London	drone_london_grid_2_3_real.png	[ 639, 387 ]	[ 546, 373, 116, 52 ]	{ "size": [ 1024, 1024 ], "counts": "f\\Ra01oo00O5H5O4L2N1L4N12OO1O1O2N1O0O100000O10O10O01000O10O1O01000000O10O10O010O10O10O10O10O1000O1O00100O1O010O01000O10O1O010O100O1O1O10001N100O010O0O2001N2O0O10001N100O010O1O01000O0100000000O01000O101O001O0O1000O02O2N1N2O1O1N3N1O1N2O1N2N3KmcX;" }	sate_london_grid_2_real.png	[ 245, 975, 60, 25 ]	{ "size": [ 1024, 1024 ], "counts": "ane7h0Wo010000000000000O1000000000O100000000000000>B0000O0100000O10O100000O0100000O10O100000O1000O10O100000O10O1000000O01000004LWQ]f0" }	[ 512, 512 ]	[ 255, 986 ]	45	-159
Chicago	drone_chicago_grid_431_3_real.png	[ 511, 364 ]	[ 445, 245, 132, 178 ]	{ "size": [ 1024, 1024 ], "counts": "^Xm=3lo0;E:F<E8G4L`0^O8E:J6eRO]M3Nfl0`3C7H3N3M5K7I5K3M2N3M2N1O1O3M5K3L2N3N1N100O10O10O101O0000O1000O100000000000O1000000001O00O1000000000O1001O0O100000000O101O00000010O010O00gJ^UOS5cj0lJ_UOR5bj0nJ_UOQ5`j0PK`UOP5`j0RK]UOo4cj0700001O00003M3M3N0O0O1O2O00000000001N101N3M7I...	sate_chicago_grid_431_real.png	[ 473, 821, 26, 57 ]	{ "size": [ 1024, 1024 ], "counts": "gii>h1Vn0200000000000000000000000000000000000000000000000000[V[`0" }	[ 512, 512 ]	[ 486, 834 ]	45	-175
London	drone_london_grid_175_1_real.png	[ 719, 355 ]	[ 526, 260, 261, 128 ]	{ "size": [ 1024, 1024 ], "counts": "cX^`0:2KVo0e0M2N2N1O2O0O100O2O0O101O0O2O1O010O15KO001N1O101N100O2O10O001OO1N2O01O1001O1O010O1O10O001O000100O2O1N10O10O010O010O01O010O00010O0100O010O00100O10O0010O010O0010O0001O01O01O10O010O0010O000100O001O010O001O01O01O10O1O100O010O01O010O01O10O001O000100O010OO2O001O01...	sate_london_grid_175_real.png	[ 957, 731, 66, 63 ]	{ "size": [ 1024, 1024 ], "counts": "Zhmm02mo03N1N2N3M2O1N3M2O1N3M1O2O0O00010O000010O000010O000010O000010O00010O0000010O00010O0000010O00010O000010O000010O000010O000010O000010O00VYO" }	[ 512, 512 ]	[ 1007, 755 ]	45	106
Berlin	drone_Berlin_grid_575_2_real.png	[ 327, 913 ]	[ 182, 777, 841, 246 ]	{ "size": [ 1024, 1024 ], "counts": "bnf5<ao07J4K5L4K5K5L3M4K6K7H4L5K5L3M5H5L4N2O1O1M3L4O1M3M3N2L4K5N2M3O1O1H8M3O1O1N2O1K5O1N2M3M3CVK_UOo4_j0:00O100O1N2N2N2K5M3O1N2M3N2N2M3M3M300J6N2N2N2N2M3N2M3N2N2M3M3N2N2N20000000000000000000000001O00000000000000001O000000001O0000001O000000001O0000001O000000000000001O00...	sate_Berlin_grid_575_real.png	[ 418, 310, 537, 152 ]	{ "size": [ 1024, 1024 ], "counts": "e[R=1io08H7I8G8I7I6J6J7I6J6N200000001O01O00000000010O00000000010O00000000001N1J6J6J6J6J6L5O2N10O000000011N1O1O000001O0001O000001O000001O000001O0001O000001O0001O000001O000001O0001O000001O0001O00000001O01O00000001O01O00000000010O0000000001O01O00000001O01O00000000010O0000...	[ 512, 512 ]	[ 924, 418 ]	45	-2
Newyork	drone_newyork_grid_625_3_real.png	[ 400, 658 ]	[ 357, 623, 107, 108 ]	{ "size": [ 1024, 1024 ], "counts": "_dU;5io04M3L3N2N101N1O2N1O2N2O1N2N2N1O2N101N2N2N101N1O2N2N2N2N2N2O1N1O2N101N1O2O1O001O10O0100O100O010O01O001O001O1O1LSROZNgm0d1ZRO_Ndm0`1\\RO`Nem0^1[ROdNdm0Z1\\ROhNem0V1[ROlNem0R1\\ROoNdm0n0^ROROcm0l0_ROSObm0k0aROSO_m0l0bROUO]m0j0fROjND4fm0P1PSOoNol0P1SSOPOml0n0TSOTOjl...	sate_newyork_grid_625_real.png	[ 581, 801, 48, 41 ]	{ "size": [ 1024, 1024 ], "counts": "biUb02mo02M2O2M3M2O2M3M2O2M2O2O1O01000O010O01000O010O10O10O010O10O10O10O010O10O10O0O2M3M2N3N1N3M3M2N3M2O[VY<" }	[ 512, 512 ]	[ 597, 816 ]	45	171
Newyork	r170_40.721524,-73.997533_2019-06_QANuPAGVzRETeVL65mc83A_d242_z2.jpg	[ 98, 172 ]	[ 67.2555175885, 141.2130823915, 62.6668798076, 130.0509784848 ]	{ "size": [ 518, 518 ], "counts": "RQR1m3Y<1O00000O10001O0000000000000O1000000000000000000O10000000000000000000000000000000000000000000000000000000000000000001O001O0TNUVT6" }	40.721524,-73.997533_2019-06_QANuPAGVzRETeVL65mc83A_d242_z2.jpg	[ 919.88, 438.53, 270, 112.5 ]	{ "size": [ 1280, 1280 ], "counts": "d_nS12lW13L3M3N2M3M4M2M3M3N3L3M3N2M3M4M2M3M3N3L3M3N200O2N100O101O000001O01O0001O01O0001O0001O01O0001O01O0000010O0000010O00000010O0000010O000001O01O0001O01OO101O0000001N1000001O0O10001O00000O2O0000001N1000001O0000001O01O0001O01O0001O01O0001O01O0001O01O0001O01O0001O01O00...	[ 640, 640 ]	[ 968, 478 ]	90	108
Moscow	r10_55.74344806,37.65958173_2021-05_9aVgi3XIWA8Z2QAhqIzxaw_d9_z3.jpg	[ 150, 221 ]	[ 106, 172, 117, 97 ]	{ "size": [ 518, 518 ], "counts": "dke1=i?0VNc0RB=g=CYB=V=b100O2O0001O00001O0000001O000O2O0O10001O00001O0000001O0000001O000000O11O000O101O0000001N10000L5O00000O20O2N001O010O0000010O00000001O000001O01O00O10000001O00000000002N0000001O0000000000001O0000000001O01O001O000000001N1nNXBFh=6_BFb=4fBF^=4nBAZ=OiRe4"...	55.74344806,37.65958173_2021-05_9aVgi3XIWA8Z2QAhqIzxaw_d9_z3.jpg	[ 688.7797317505, 841.8596089681, 172, 205 ]	{ "size": [ 1280, 1280 ], "counts": "_Tnj02mW14M3M4K4M3M3M4K4M3M3L5L3M3L4M4K4M3L4M4K4M3L4M4K100O10O010O010O010O010O010O0100O010O010O010O010O010O10O010O010O010O0100O101N2O2]kN[MfS1i2VlN[MfS1h2XlNZMfS1h2WlN[MfS1h2WlN[MgS1b3L3N2M3N3L3N2M3N3L3N2M3N3L3N2M100O010O10O010O010O010O010O010O010O010O0100O010O010O010O...	[ 640, 640 ]	[ 778, 928 ]	90	-179

End of preview.

CMA-Loc

This repository stores the CMA-Loc dataset as uncompressed tar shards plus the original JSON annotation files.

Layout

data/*.tar                         # image shards, paths inside each tar keep the original urban/<city>/<modality>/... layout
metadata/*.json                    # original annotation split files
manifests/shards.jsonl             # one row per tar shard
manifests/files.jsonl              # one row per image file with its shard mapping
manifests/shard_file_lists/*.txt    # exact file list used to create each shard
checksums.sha256                   # SHA-256 checksums for uploaded files

Summary

Image files: 180430
Image input size: 73.67 GiB
Tar shards: 49
Tar shard size: 73.80 GiB
Cities: Berlin, Chicago, London, Losangeles, Moscow, Newyork, Paris, Tokyo
Modalities: crop_sate, mono, sate

City	Modality	Files	Size
Berlin	crop_sate	3450	1.86 GiB
Berlin	mono	2242	5.31 GiB
Berlin	sate	817	2.11 GiB
Chicago	crop_sate	1826	0.89 GiB
Chicago	mono	1422	2.76 GiB
Chicago	sate	542	1.21 GiB
London	crop_sate	5800	3.21 GiB
London	mono	20862	5.72 GiB
London	sate	9275	4.85 GiB
Losangeles	crop_sate	4197	2.32 GiB
Losangeles	mono	2995	0.72 GiB
Moscow	crop_sate	2821	1.37 GiB
Moscow	mono	20307	1.83 GiB
Moscow	sate	9167	2.22 GiB
Newyork	crop_sate	7669	4.12 GiB
Newyork	mono	23773	6.77 GiB
Newyork	sate	10447	7.51 GiB
Paris	crop_sate	4244	2.43 GiB
Paris	mono	20122	4.88 GiB
Paris	sate	8957	4.62 GiB
Tokyo	crop_sate	2336	1.32 GiB
Tokyo	mono	11507	2.78 GiB
Tokyo	sate	5652	2.86 GiB

Usage

List files in a shard:

tar -tf data/urban_newyork_mono_00000.tar | head

Extract all shards:

mkdir -p extracted
for shard in data/*.tar; do tar -xf "$shard" -C extracted; done

The annotation JSON files refer to image filenames. The full image paths are preserved in the tar members under:

urban/<city>/mono/<mono_filename>
urban/<city>/sate/<satellite_filename>
urban/<city>/crop_sate/<cropped_satellite_filename>

Use manifests/files.jsonl to locate the tar shard containing a specific image path.

Downloads last month: 21

Total file size:

79.6 GB