id
stringlengths
32
32
B02
imagewidth (px)
256
256
B03
imagewidth (px)
256
256
B04
imagewidth (px)
256
256
B05
imagewidth (px)
256
256
B06
imagewidth (px)
256
256
B07
imagewidth (px)
256
256
B08
imagewidth (px)
256
256
B11
imagewidth (px)
256
256
B12
imagewidth (px)
256
256
label
imagewidth (px)
256
256
lon_min
float32
2.53
5.89
lon_max
float32
2.55
5.91
lat_min
float32
50.7
51.5
lat_max
float32
50.7
51.5
unclassified_space
float32
0.07
1
5aadcbfb2d5b9ebb671f9f9781f1f245
4.196777
4.21875
50.805935
50.819817
0.56117
15f8790678211b46587f1ee9775f6920
2.768555
2.790527
50.861443
50.875313
0.57758
4e7fd813de5cca0c519f00101728d310
5.690918
5.712891
51.151787
51.165565
0.71254
0835269a8a086f68f97b0cba64f5d97b
3.537598
3.55957
51.055206
51.069016
0.51807
949d6cb1738650f930f0b31d3a964095
4.54834
4.570313
50.805935
50.819817
0.56978
594d22195b3f354e81fec8f9ee3b05e0
4.372559
4.394531
51.316879
51.330612
0.60422
c9c89737b2e0a1654780e95b26e8d2c5
5.515137
5.537109
51.179344
51.193115
0.73973
190d779a69b1788547bd7f0811d553e4
4.899902
4.921875
51.358063
51.37178
0.64426
1c31a088ea2f3a6b55cb996ac9077f13
5.603027
5.625
50.778156
50.792046
0.43079
081980e4e26f572a80c1eaef31ffa4f9
3.449707
3.47168
50.764259
50.778156
0.78622
5b728db237f79af475c4c2be21e061d6
4.658203
4.680176
51.193115
51.206882
0.76527
98010296b73d2f04f660f20d5e224a86
4.350586
4.372559
51.330612
51.344337
0.55344
ecccff1b7b18ad29c9eb09668c4499c1
3.845215
3.867188
51.069016
51.082821
0.63557
58fda100b72a8e09869f08d62d39fae3
5.734863
5.756836
51.013756
51.027576
0.86479
4fa314f7e11e212351560b88072bc050
5.185547
5.20752
51.069016
51.082821
0.80283
e6e1f0a59ef1df977f2414713d8f95f8
4.614258
4.63623
50.847572
50.861443
0.47263
116cbda2d4e24ef688b2010c4482e139
3.647461
3.669434
50.986099
50.999928
0.9684
cf5bdda7916aad7c00716bb32b1e85c7
2.636719
2.658691
50.972263
50.986099
0.22069
a4e01cd02fc833c928a2bb416dc0fda1
2.944336
2.966309
50.833698
50.847572
0.79628
43581129f063482acf4463efd1d15ab7
4.086914
4.108887
51.096622
51.11042
0.87047
7b5467fbae675cbcf5a19d0ed859430c
4.768066
4.790039
51.179344
51.193115
0.90031
c42bbbbc62b7c8a63ef21ab1e3e50fe7
3.186035
3.208008
50.833698
50.847572
0.8795
193987c8863643ef87b282aee1ea97cd
4.943848
4.96582
51.179344
51.193115
0.69856
965d4e74ae75c47025317150eb8705bc
3.493652
3.515625
50.764259
50.778156
0.54527
a2774054c8ed06f43e9284ee3808c59f
5.163574
5.185547
50.875313
50.889175
0.59799
129eb927ffcac1a14858b7bd0d86525c
4.724121
4.746094
50.819817
50.833698
0.6203
2e5fbcec81a2e1b57ac35aaa0ed6e4bd
3.713379
3.735352
50.764259
50.778156
0.88297
4fdfe76dffe03f891f24b5931e538129
3.098145
3.120117
51.055206
51.069016
0.90218
ebee641c8a4df049aec1fb1f936ddeba
4.812012
4.833984
51.316879
51.330612
0.87036
5e3c44bb7eac1a1b6398a98311c0b66d
3.911133
3.933105
50.736454
50.750359
0.96431
b383b44ac662e56a0b24dea5dd6f030f
3.47168
3.493652
50.889175
50.903034
0.63251
0aeedd0978ae62fd27da22194df7914e
5.075684
5.097656
51.440311
51.454006
0.63689
d14588a62f6ce0031857e2841d8065b6
4.921875
4.943848
51.440311
51.454006
0.93835
36ad35305d120c4a5fe50bdfd465e043
3.603516
3.625488
51.220646
51.234406
0.37935
d1c06014c72c1e6e6b50cd9d994f5d93
5.009766
5.031738
51.399204
51.41291
0.61549
8a949a2bb033a4b5ff4c8467dfcca18d
5.800781
5.822754
51.11042
51.124214
0.70613
9ee6d321b45653e66417b343e3acb825
3.823242
3.845215
50.778156
50.792046
0.66971
1a872f1b9786ac7a7c1b6da311dea9d0
3.933105
3.955078
50.930737
50.944584
0.84261
8e505170e4703378cc99c80524ea4961
5.471191
5.493164
50.861443
50.875313
0.6666
87b0dc61d4a0ed112f65c077e6dd4631
4.987793
5.009766
51.027576
51.041393
0.98438
e5c12c830a0e05b8630d97490f78fb5e
4.899902
4.921875
50.930737
50.944584
0.97359
8e85e9d7eafb49126e032e9eb88d4039
3.14209
3.164063
50.889175
50.903034
0.55147
33984a870ea67941fb701a0e5b4fe3dd
2.680664
2.702637
51.082821
51.096622
0.19807
05ea723987051cb59535b1a7fbfe1831
4.658203
4.680176
51.041393
51.055206
0.8903
b887ee649a8b5a7c3dccd3883f1c6561
3.88916
3.911133
50.819817
50.833698
0.71605
30dab57edb037ad9ae31f914a6986feb
5.053711
5.075684
51.013756
51.027576
0.8651
7888129b80650a009104cde06df461e4
5.537109
5.559082
51.193115
51.206882
0.89204
c6655e9e74b27c7f43dca6ca7a062ea4
3.22998
3.251953
50.750359
50.764259
0.73465
235a3164eb2fdc9581e398f06ec6aab3
2.746582
2.768555
51.096622
51.11042
0.45811
30ebe4228b50c853c67c112807e062b8
2.900391
2.922363
50.750359
50.764259
0.51198
f35c4d665d9fdb59e99c8ae7dfeae7e5
3.427734
3.449707
51.124214
51.138
0.60995
0896d2ab96337893dc2af4962f73cfc4
4.064941
4.086914
50.889175
50.903034
0.91988
bec30ad37cb4d527e191f91c646d9e62
4.394531
4.416504
50.778156
50.792046
1
62db07f103b4d645d695b7cb28db3599
4.680176
4.702148
51.37178
51.385494
0.34264
85da0d36a205ee9de2e4e40b32da654c
4.130859
4.152832
51.165565
51.179344
0.99492
948ce6400bbd4b4455bc35aa212aab0c
2.724609
2.746582
51.11042
51.124214
0.50404
917179aa3763e0a39976469701f5818d
3.80127
3.823242
51.055206
51.069016
0.82741
e30d51d6031508e412da5f1b9203a1d0
4.987793
5.009766
50.847572
50.861443
0.64171
a92d3241666581aa5ae86baad2ebcea7
5.581055
5.603027
50.833698
50.847572
0.26213
f182028d7dd1191495eb1bb50ca8a18d
5.251465
5.273438
50.916889
50.930737
0.71417
ae504b31e9c3f3d42ac65a87016268e8
5.405273
5.427246
50.847572
50.861443
0.51889
e4ba3c45576a5ad9732cc9b3e9b6ad6d
5.075684
5.097656
50.764259
50.778156
0.46651
ae2a7b68ddb2ecc8f041a557a151966a
3.603516
3.625488
50.916889
50.930737
0.50728
24d76367468d4755cba781c83782e4df
4.724121
4.746094
50.833698
50.847572
0.645
ecf8dea1cbe29d1d7d6d093e957f78cd
4.943848
4.96582
50.999928
51.013756
0.92349
a7867fda26727588ce8645e1a29080ee
3.955078
3.977051
50.903034
50.916889
0.8259
7baf2bb21a4dda576d10fb0a557ea9d4
5.141602
5.163574
50.889175
50.903034
0.50032
e086f219bbf4f1aebc7355f98ae97e25
4.064941
4.086914
50.819817
50.833698
0.82593
396451ba7cba1cde576d0d9c94f95c3f
5.515137
5.537109
50.805935
50.819817
0.38657
919615724cbeaa9a587dbde9c021073b
4.921875
4.943848
50.999928
51.013756
0.81844
f8992d7525e49a0b0a2e1b995431dd9d
3.735352
3.757324
50.972263
50.986099
0.85847
b074d8449241533d868ad0a4650429e3
3.757324
3.779297
50.750359
50.764259
0.80797
d7d9bdbd8432bc853b6f870c4a859e6f
2.878418
2.900391
51.027576
51.041393
0.73561
c6c05bea927604b434398b8b0558c6eb
5.273438
5.29541
50.847572
50.861443
0.41891
923d8f668f27ed079ec560d77f11ddc6
5.141602
5.163574
51.138
51.151787
0.83871
c9cd16d192161e94c524bc4cf05301c9
3.55957
3.581543
51.248161
51.261913
0.47502
bec478b3989e8f3a0eab6f3f249fd9de
5.734863
5.756836
51.165565
51.179344
0.60744
7d38745497d356db95ac88612e7ed590
4.438477
4.460449
50.778156
50.792046
1
8ec0f7c1f4f8d1266deeac1050187b37
5.581055
5.603027
51.069016
51.082821
0.80681
ae0db9dd878532cc70592d40df738f85
4.504395
4.526367
50.986099
50.999928
0.9864
3d5e2fed1226ca53252c2bbe91e05368
5.361328
5.383301
50.833698
50.847572
0.36714
8c2d229781e639642273a9b616a356d8
4.350586
4.372559
51.055206
51.069016
0.99858
cba148d5c9f4c44d9722e20aabc75e5c
4.592285
4.614258
51.358063
51.37178
0.97551
a769db39a4c310936b19bb00946b37cc
4.042969
4.064941
51.069016
51.082821
0.90575
f412cb52a3bc8553874abdbbbacac83b
4.680176
4.702148
51.440311
51.454006
0.6037
b8bd396f346287be71ab6213ef48e1ac
4.284668
4.306641
50.722546
50.736454
0.92752
e04972c658613762c4d1b70e9f355955
4.020996
4.042969
51.041393
51.055206
0.69359
9d72c6eac4c0eed104dffff2f320726b
4.87793
4.899902
51.303146
51.316879
0.99745
4f800b44e08d20e63bacfa570e786688
2.768555
2.790527
51.138
51.151787
0.51387
6591568bf970531512e5eee2d5d5b992
5.427246
5.449219
51.179344
51.193115
0.6647
1eb4ebb329ff8039751e39929b31bf7c
4.833984
4.855957
51.358063
51.37178
0.91148
ed3fabc1b37e2fc6e51abcfde093e207
3.55957
3.581543
50.930737
50.944584
0.53539
43dc017d0eb39e50dcea44f51d30f1dc
2.856445
2.878418
50.972263
50.986099
0.78352
b85aa4d9f9a93cc36a494f96e7dd5c47
3.647461
3.669434
51.013756
51.027576
0.88885
b1dfd57732b18ceec91b0684b17510d9
4.306641
4.328613
51.303146
51.316879
1
22edbe772b692cb16bbad090d57451b3
4.240723
4.262695
51.330612
51.344337
0.99998
539c1a8805d3da0dee33e775dee0335e
4.987793
5.009766
50.958427
50.972263
0.31921
b2eb8b82e53909dddb4eb60c463e6178
3.076172
3.098145
51.220646
51.234406
0.40433
e4fefa8d2093d2e68d5fc7bd602cdeed
3.339844
3.361816
51.082821
51.096622
0.61856
5bb83482d4d10d6b86c0fd8cf93e4387
5.471191
5.493164
50.986099
50.999928
0.99152

Crop Type Segmentation Earth Observation Dataset of Belgium

This dataset is a ML ready dataset with Earth Observation data from ESA Sentinel-2 with a GSD of 10m. The segmentation labels are given for the crop-type in each 10m pixel. The spectral bands provided are those suggest in ESA WorldCereal documentation (Bands: 2,3,4,5,6,7,8,11,12). The dataset covers the majority of Belgium. Each image is 256x256 pixels.

  • Author of this dataset: Robert Cowlishaw (0x365)

Input data - Sentinel-2 Satellite Imagery from ESA Copernicus

  • Bands: 2, 3, 4, 5, 6, 7, 8, 11, 12
  • GSD: 10m
  • Image Dimensions: 256x256 pixels
  • Date of acquisition: 29/06/2018 to 01/07/2018
  • Location: Belgium

Label data - ESA WorldCereal dataset originally created by Department of Agriculture and Fisheries of the Flemish government (Belgium)

  • GSD: 10m
  • Image Dimensions: 256x256 pixelsB02
  • Date of observation: 01/06/2018
  • Location: Belgium

Licensing Information

The dataset is available under the Creative Commons License (CC BY 4.0). Please read further information about the datasets used to build this one to correctly credit the data creators here.

  • Contains modified Copernicus Sentinel data 2018
  • Contains modified Copernicus Service information 2018

Load dataset

from datasets import load_dataset

dataset = load_dataset("0x365/eo-crop-type-belgium", split="train")

Labels

Class ID Crop Type Feature Count
255 Background/Unclassified 208288074
0 pasture 68096739
1 maize 50068391
2 winter wheat 16664081
3 potatoes 14379282
4 fodder beets 6565216
5 leguminous cover crop 4502781
6 winter barley 3933897
7 pears 2582060
8 appels 1488258
9 beans 1417765
10 # engelwortel 1255222
11 hemp 1067147
12 cauliflower 1043146
13 fodder carrots 1009874
14 other crops 1001480
15 brussels sprouts 912454
16 triticale 831751
17 sjalots 827927
18 leek 780744
19 chicory 748404
20 peas 705120
21 fodder mixture 625563
22 spinach 528456
23 parsnip 301429
24 strawberries 291863
25 cherry 289896
26 spring barley 244321
27 vegetables - seeds 243480
28 cucumber herb 216599
29 zucchini 181351
30 winter rapeseed 157622
31 asparagus 146538
32 spring wheat 132405
33 fodder cabbages 128322
34 butternut 113114
35 sword herd 88687
36 haricot 87384
37 winter rye 85854
38 grape seedlings 59326
39 ornamental plants 56964
40 other annual fruit 53807
41 buckwheat 45499
42 fodder turnips 42663
43 tagetes 37126
44 blueberries 27031
45 fennel 26752
46 red berries 21415
47 raspberry 17584
48 other fodder crops 15525
49 aromatic herbs 13340
50 sorghum 13042
51 soybeans 12271
52 yellow mustard 11877
53 tobacco 11793
54 walnuts 9260
55 barley 8821
56 spring rapeseed 7944
57 kiwi berries 7369
58 spring rye 6328
59 plums 6090
60 chervil 5653
61 phacelia 4977
62 gooseberries 2909
63 hazelnuts 1564
64 sunflower 1013
65 mixture winter wheat and leguminous crops 0
66 sweet potatoes 0
67 nut-sweet rapeseed 0
68 nyger seed 0
69 lupine 0
70 peach 0
71 oil seeds 0
72 tomatoes 0
73 eggplant 0
74 cucumber (greenhouses) 0
75 oats 0
76 artichokes 0
77 sudan grass 0
Downloads last month
184
Edit dataset card