martinkorelic commited on
Commit
ab5f638
·
verified ·
1 Parent(s): 5f4e9ca

Upload model_config.json

Browse files
Files changed (1) hide show
  1. model_config.json +865 -0
model_config.json ADDED
@@ -0,0 +1,865 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "satlas_amazon": {
3
+ "path": "saved_models/Satlas_Amazon_epoch30.pth",
4
+ "max_batch_size": 4,
5
+ "name": "[SATLAS] Amazon Rainforest RGB Segmentation Model",
6
+ "dataset_details": {
7
+ "name": "Amazon and Atlantic Forest image datasets for semantic segmentation",
8
+ "url": "https://zenodo.org/records/4498086",
9
+ "dataset_sizes": {
10
+ "train": 499,
11
+ "validation": 100,
12
+ "test": 20
13
+ }
14
+ },
15
+ "model_details": {
16
+ "name": "Sentinel2_SwinB_SI_RGB",
17
+ "based_on": "https://github.com/allenai/satlaspretrain_models/",
18
+ "size_MB": 360,
19
+ "epochs": 30,
20
+ "num_classes": 2,
21
+ "labels": [
22
+ "background",
23
+ "forest"
24
+ ],
25
+ "colormap": [
26
+ [
27
+ 0,
28
+ 0,
29
+ 0
30
+ ],
31
+ [
32
+ 255,
33
+ 255,
34
+ 255
35
+ ]
36
+ ],
37
+ "band_input": [
38
+ "b04",
39
+ "b03",
40
+ "b02"
41
+ ],
42
+ "allowed_image_input_sizes": [
43
+ 512,
44
+ 1024
45
+ ]
46
+ },
47
+ "evaluation_details": [
48
+ {
49
+ "IOU": 0.9160570203553283,
50
+ "IOU mean": 0.9160291616082962,
51
+ "IOU per Class": [
52
+ 0.91449968,
53
+ 0.91755865
54
+ ]
55
+ },
56
+ {
57
+ "F1_score Micro": 0.9561897277832025,
58
+ "F1_score Macro": 0.9561738858131004,
59
+ "F1_score Weighted": 0.9561771721318983,
60
+ "F1_score per Class": [
61
+ 0.95534064,
62
+ 0.95700713
63
+ ]
64
+ },
65
+ {
66
+ "Accuracy": 0.9561897277832031,
67
+ "Accuracy per Class": [
68
+ 0.95618973,
69
+ 0.95618973
70
+ ]
71
+ }
72
+ ]
73
+ },
74
+ "satlas_atlantic": {
75
+ "path": "saved_models/Satlas_Atlantic_epoch30.pth",
76
+ "max_batch_size": 4,
77
+ "name": "[SATLAS] Atlantic Forest RGB Segmentation Model",
78
+ "dataset_details": {
79
+ "name": "Amazon and Atlantic Forest image datasets for semantic segmentation",
80
+ "url": "https://zenodo.org/records/4498086",
81
+ "dataset_sizes": {
82
+ "train": 485,
83
+ "validation": 100,
84
+ "test": 20
85
+ }
86
+ },
87
+ "model_details": {
88
+ "name": "Sentinel2_SwinB_SI_RGB",
89
+ "based_on": "https://github.com/allenai/satlaspretrain_models/",
90
+ "size_MB": 360,
91
+ "epochs": 30,
92
+ "num_classes": 2,
93
+ "labels": [
94
+ "background",
95
+ "forest"
96
+ ],
97
+ "colormap": [
98
+ [
99
+ 0,
100
+ 0,
101
+ 0
102
+ ],
103
+ [
104
+ 255,
105
+ 255,
106
+ 255
107
+ ]
108
+ ],
109
+ "band_input": [
110
+ "b04",
111
+ "b03",
112
+ "b02"
113
+ ],
114
+ "allowed_image_input_sizes": [
115
+ 512
116
+ ]
117
+ },
118
+ "evaluation_details": [
119
+ {
120
+ "IOU": 0.7196257145523254,
121
+ "IOU mean": 0.6484626133206366,
122
+ "IOU per Class": [
123
+ 0.80662864,
124
+ 0.49029659
125
+ ]
126
+ },
127
+ {
128
+ "F1_score Micro": 0.8369562149047846,
129
+ "F1_score Macro": 0.7754754405349589,
130
+ "F1_score Weighted": 0.8189807462232752,
131
+ "F1_score per Class": [
132
+ 0.89296563,
133
+ 0.65798525
134
+ ]
135
+ },
136
+ {
137
+ "Accuracy": 0.8369562149047851,
138
+ "Accuracy per Class": [
139
+ 0.83695621,
140
+ 0.83695621
141
+ ]
142
+ }
143
+ ]
144
+ },
145
+ "aitlas_amazon": {
146
+ "path": "saved_models/Aitlas_Amazon.pth.tar",
147
+ "max_batch_size": 4,
148
+ "name": "[AiTLAS] Amazon Rainforest RGB Segmentation Model",
149
+ "dataset_details": {
150
+ "name": "Amazon Rainforest dataset for semantic segmentation",
151
+ "url": "https://zenodo.org/record/3233081#.YTYm_44zaUk",
152
+ "dataset_sizes": {
153
+ "train": 30,
154
+ "validation": 15,
155
+ "test": 15
156
+ }
157
+ },
158
+ "model_details": {
159
+ "name": "DeepLabV3",
160
+ "based_on": "https://pytorch.org/vision/stable/models/generated/torchvision.models.segmentation.deeplabv3_resnet101.html#torchvision.models.segmentation.deeplabv3_resnet101",
161
+ "size_MB": 714,
162
+ "epochs": 40,
163
+ "num_classes": 2,
164
+ "labels": [
165
+ "background",
166
+ "forest"
167
+ ],
168
+ "colormap": [
169
+ [
170
+ 0,
171
+ 0,
172
+ 0
173
+ ],
174
+ [
175
+ 255,
176
+ 255,
177
+ 255
178
+ ]
179
+ ],
180
+ "band_input": [
181
+ "b04",
182
+ "b03",
183
+ "b02"
184
+ ],
185
+ "allowed_image_input_sizes": [
186
+ 512,
187
+ 1024
188
+ ]
189
+ },
190
+ "evaluation_details": [
191
+ {
192
+ "IOU": 0.8456317740088586,
193
+ "IOU mean": 0.8461749415609907,
194
+ "IOU per Class": [
195
+ 0.86789375,
196
+ 0.82445613
197
+ ]
198
+ },
199
+ {
200
+ "F1_score Micro": 0.916360225173279,
201
+ "F1_score Macro": 0.9165290964209294,
202
+ "F1_score Weighted": 0.9170950470624333,
203
+ "F1_score per Class": [
204
+ 0.92927529,
205
+ 0.90378291
206
+ ]
207
+ },
208
+ {
209
+ "Accuracy": 0.9142213185628255,
210
+ "Accuracy per Class": [
211
+ 0.92842763,
212
+ 0.900015
213
+ ]
214
+ }
215
+ ]
216
+ },
217
+ "satlas_rgb1": {
218
+ "path": "saved_models/Satlas_RGB1_epoch70.pth",
219
+ "max_batch_size": 4,
220
+ "name": "[SATLAS] Pretrain RGB1 Segmentation Model",
221
+ "dataset_details": {
222
+ "name": "satlas-pretrain",
223
+ "url": "https://huggingface.co/allenai/satlas-pretrain",
224
+ "dataset_sizes": {
225
+ "train": 5656,
226
+ "validation": 0,
227
+ "test": 3702
228
+ }
229
+ },
230
+ "model_details": {
231
+ "name": "Sentinel2_SwinB_SI_RGB",
232
+ "based_on": "https://github.com/allenai/satlaspretrain_models/",
233
+ "size_MB": 360,
234
+ "epochs": 100,
235
+ "num_classes": 12,
236
+ "labels": [
237
+ "background",
238
+ "water",
239
+ "developed",
240
+ "tree",
241
+ "shrub",
242
+ "grass",
243
+ "crop",
244
+ "bare",
245
+ "snow",
246
+ "wetland",
247
+ "mangroves",
248
+ "moss"
249
+ ],
250
+ "colormap": [
251
+ [
252
+ 0,
253
+ 0,
254
+ 0
255
+ ],
256
+ [
257
+ 0,
258
+ 0,
259
+ 255
260
+ ],
261
+ [
262
+ 255,
263
+ 0,
264
+ 0
265
+ ],
266
+ [
267
+ 0,
268
+ 192,
269
+ 0
270
+ ],
271
+ [
272
+ 200,
273
+ 170,
274
+ 120
275
+ ],
276
+ [
277
+ 0,
278
+ 255,
279
+ 0
280
+ ],
281
+ [
282
+ 255,
283
+ 255,
284
+ 0
285
+ ],
286
+ [
287
+ 128,
288
+ 128,
289
+ 128
290
+ ],
291
+ [
292
+ 255,
293
+ 255,
294
+ 255
295
+ ],
296
+ [
297
+ 0,
298
+ 255,
299
+ 255
300
+ ],
301
+ [
302
+ 255,
303
+ 0,
304
+ 255
305
+ ],
306
+ [
307
+ 128,
308
+ 0,
309
+ 128
310
+ ]
311
+ ],
312
+ "band_input": [
313
+ "b04",
314
+ "b03",
315
+ "b02"
316
+ ],
317
+ "allowed_image_input_sizes": [
318
+ 512
319
+ ]
320
+ },
321
+ "evaluation_details": [
322
+ {
323
+ "IOU": 0.5275466621413074,
324
+ "IOU mean": 0.2715683931795421,
325
+ "IOU per Class": [
326
+ 0.00184679,
327
+ 0.60037727,
328
+ 0.62003255,
329
+ 0.59362291,
330
+ 0.3538088,
331
+ 0.3514771,
332
+ 0.56063167,
333
+ 0.08482253,
334
+ 0.0,
335
+ 0.04415439,
336
+ 0.04804671,
337
+ 0.0
338
+ ]
339
+ },
340
+ {
341
+ "F1_score Micro": 0.6907110273172209,
342
+ "F1_score Macro": 0.3631975989561942,
343
+ "F1_score Weighted": 0.6797870030724643,
344
+ "F1_score per Class": [
345
+ 0.00368677,
346
+ 0.75029467,
347
+ 0.7654569,
348
+ 0.74499796,
349
+ 0.52268651,
350
+ 0.52013771,
351
+ 0.71846763,
352
+ 0.15638047,
353
+ 0.0,
354
+ 0.08457444,
355
+ 0.09168811,
356
+ 0.0
357
+ ]
358
+ },
359
+ {
360
+ "Accuracy": 0.9530891218036011,
361
+ "Accuracy per Class": [
362
+ 0.98762772,
363
+ 0.96266946,
364
+ 0.87371605,
365
+ 0.91505114,
366
+ 0.98472297,
367
+ 0.85838085,
368
+ 0.87827618,
369
+ 0.98283258,
370
+ 0.99993557,
371
+ 0.99454291,
372
+ 0.9994683,
373
+ 0.99984574
374
+ ]
375
+ }
376
+ ]
377
+ },
378
+ "satlas_rgb2": {
379
+ "path": "saved_models/Satlas_RGB2_epoch100.pth",
380
+ "max_batch_size": 4,
381
+ "name": "[SATLAS] Pretrain RGB2 Segmentation Model",
382
+ "dataset_details": {
383
+ "name": "satlas-pretrain",
384
+ "url": "https://huggingface.co/allenai/satlas-pretrain",
385
+ "dataset_sizes": {
386
+ "train": 5656,
387
+ "validation": 0,
388
+ "test": 3702
389
+ }
390
+ },
391
+ "model_details": {
392
+ "name": "Sentinel2_SwinB_SI_RGB",
393
+ "based_on": "https://github.com/allenai/satlaspretrain_models/",
394
+ "size_MB": 360,
395
+ "epochs": 100,
396
+ "num_classes": 12,
397
+ "labels": [
398
+ "background",
399
+ "water",
400
+ "developed",
401
+ "tree",
402
+ "shrub",
403
+ "grass",
404
+ "crop",
405
+ "bare",
406
+ "snow",
407
+ "wetland",
408
+ "mangroves",
409
+ "moss"
410
+ ],
411
+ "colormap": [
412
+ [
413
+ 0,
414
+ 0,
415
+ 0
416
+ ],
417
+ [
418
+ 0,
419
+ 0,
420
+ 255
421
+ ],
422
+ [
423
+ 255,
424
+ 0,
425
+ 0
426
+ ],
427
+ [
428
+ 0,
429
+ 192,
430
+ 0
431
+ ],
432
+ [
433
+ 200,
434
+ 170,
435
+ 120
436
+ ],
437
+ [
438
+ 0,
439
+ 255,
440
+ 0
441
+ ],
442
+ [
443
+ 255,
444
+ 255,
445
+ 0
446
+ ],
447
+ [
448
+ 128,
449
+ 128,
450
+ 128
451
+ ],
452
+ [
453
+ 255,
454
+ 255,
455
+ 255
456
+ ],
457
+ [
458
+ 0,
459
+ 255,
460
+ 255
461
+ ],
462
+ [
463
+ 255,
464
+ 0,
465
+ 255
466
+ ],
467
+ [
468
+ 128,
469
+ 0,
470
+ 128
471
+ ]
472
+ ],
473
+ "band_input": [
474
+ "b04",
475
+ "b03",
476
+ "b02"
477
+ ],
478
+ "allowed_image_input_sizes": [
479
+ 512
480
+ ]
481
+ },
482
+ "evaluation_details": [
483
+ {
484
+ "IOU": 0.5370197470568344,
485
+ "IOU mean": 0.2659677640863532,
486
+ "IOU per Class": [
487
+ 0.01173397,
488
+ 0.60826667,
489
+ 0.6536582,
490
+ 0.59330671,
491
+ 0.31323594,
492
+ 0.30890341,
493
+ 0.57659089,
494
+ 0.07976055,
495
+ 0.0,
496
+ 0.0193646,
497
+ 0.02679223,
498
+ 0.0
499
+ ]
500
+ },
501
+ {
502
+ "F1_score Micro": 0.6987805434317255,
503
+ "F1_score Macro": 0.3527779273804717,
504
+ "F1_score Weighted": 0.6810396803904013,
505
+ "F1_score per Class": [
506
+ 0.02319576,
507
+ 0.75642514,
508
+ 0.79056022,
509
+ 0.7447489,
510
+ 0.47704443,
511
+ 0.47200337,
512
+ 0.73144009,
513
+ 0.14773747,
514
+ 0.0,
515
+ 0.03799347,
516
+ 0.05218627,
517
+ 0.0
518
+ ]
519
+ },
520
+ {
521
+ "Accuracy": 0.954061534111508,
522
+ "Accuracy per Class": [
523
+ 0.98761703,
524
+ 0.96330009,
525
+ 0.88053672,
526
+ 0.91707112,
527
+ 0.98515703,
528
+ 0.85860067,
529
+ 0.87937035,
530
+ 0.98291298,
531
+ 0.99993557,
532
+ 0.99491056,
533
+ 0.99948055,
534
+ 0.99984574
535
+ ]
536
+ }
537
+ ]
538
+ },
539
+ "satlas_ms1": {
540
+ "path": "saved_models/Satlas_MS_tci-b08_epoch150.pth",
541
+ "max_batch_size": 4,
542
+ "name": "[SATLAS] Pretrain Multiband 1 Segmentation Model",
543
+ "dataset_details": {
544
+ "name": "satlas-pretrain",
545
+ "url": "https://huggingface.co/allenai/satlas-pretrain",
546
+ "dataset_sizes": {
547
+ "train": 5656,
548
+ "validation": 0,
549
+ "test": 3702
550
+ }
551
+ },
552
+ "model_details": {
553
+ "name": "Sentinel2_SwinB_SI_MS",
554
+ "based_on": "https://github.com/allenai/satlaspretrain_models/",
555
+ "size_MB": 360,
556
+ "epochs": 150,
557
+ "num_classes": 12,
558
+ "labels": [
559
+ "background",
560
+ "water",
561
+ "developed",
562
+ "tree",
563
+ "shrub",
564
+ "grass",
565
+ "crop",
566
+ "bare",
567
+ "snow",
568
+ "wetland",
569
+ "mangroves",
570
+ "moss"
571
+ ],
572
+ "colormap": [
573
+ [
574
+ 0,
575
+ 0,
576
+ 0
577
+ ],
578
+ [
579
+ 0,
580
+ 0,
581
+ 255
582
+ ],
583
+ [
584
+ 255,
585
+ 0,
586
+ 0
587
+ ],
588
+ [
589
+ 0,
590
+ 192,
591
+ 0
592
+ ],
593
+ [
594
+ 200,
595
+ 170,
596
+ 120
597
+ ],
598
+ [
599
+ 0,
600
+ 255,
601
+ 0
602
+ ],
603
+ [
604
+ 255,
605
+ 255,
606
+ 0
607
+ ],
608
+ [
609
+ 128,
610
+ 128,
611
+ 128
612
+ ],
613
+ [
614
+ 255,
615
+ 255,
616
+ 255
617
+ ],
618
+ [
619
+ 0,
620
+ 255,
621
+ 255
622
+ ],
623
+ [
624
+ 255,
625
+ 0,
626
+ 255
627
+ ],
628
+ [
629
+ 128,
630
+ 0,
631
+ 128
632
+ ]
633
+ ],
634
+ "band_input": [
635
+ "b04",
636
+ "b03",
637
+ "b02",
638
+ "b08"
639
+ ],
640
+ "allowed_image_input_sizes": [
641
+ 512
642
+ ]
643
+ },
644
+ "evaluation_details": [
645
+ {
646
+ "IOU": 0.5955503340933298,
647
+ "IOU mean": 0.33532558894753084,
648
+ "IOU per Class": [
649
+ 0.0700686,
650
+ 0.70265891,
651
+ 0.67547708,
652
+ 0.64202161,
653
+ 0.30332007,
654
+ 0.45834114,
655
+ 0.63441801,
656
+ 0.15785859,
657
+ 0.0,
658
+ 0.16057524,
659
+ 0.21916782,
660
+ 0.0
661
+ ]
662
+ },
663
+ {
664
+ "F1_score Micro": 0.746514003811419,
665
+ "F1_score Macro": 0.4436594011755825,
666
+ "F1_score Weighted": 0.7400464110919467,
667
+ "F1_score per Class": [
668
+ 0.13096095,
669
+ 0.82536661,
670
+ 0.80631014,
671
+ 0.78198923,
672
+ 0.46545753,
673
+ 0.62857877,
674
+ 0.77632283,
675
+ 0.27267336,
676
+ 0.0,
677
+ 0.27671664,
678
+ 0.35953676,
679
+ 0.0
680
+ ]
681
+ },
682
+ {
683
+ "Accuracy": 0.9592796749367105,
684
+ "Accuracy per Class": [
685
+ 0.98665794,
686
+ 0.97175842,
687
+ 0.88690899,
688
+ 0.9251064,
689
+ 0.98533753,
690
+ 0.87516222,
691
+ 0.90463571,
692
+ 0.98145686,
693
+ 0.99993557,
694
+ 0.99500728,
695
+ 0.99954343,
696
+ 0.99984574
697
+ ]
698
+ }
699
+ ]
700
+ },
701
+ "satlas_ms2": {
702
+ "path": "saved_models/Satlas_MS_tci-b08-b11-b12_epoch40.pth",
703
+ "max_batch_size": 4,
704
+ "name": "[SATLAS] Pretrain Multiband 2 Segmentation Model",
705
+ "dataset_details": {
706
+ "name": "satlas-pretrain",
707
+ "url": "https://huggingface.co/allenai/satlas-pretrain",
708
+ "dataset_sizes": {
709
+ "train": 5656,
710
+ "validation": 0,
711
+ "test": 3702
712
+ }
713
+ },
714
+ "model_details": {
715
+ "name": "Sentinel2_SwinB_SI_MS",
716
+ "based_on": "https://github.com/allenai/satlaspretrain_models/",
717
+ "size_MB": 360,
718
+ "epochs": 40,
719
+ "num_classes": 12,
720
+ "labels": [
721
+ "background",
722
+ "water",
723
+ "developed",
724
+ "tree",
725
+ "shrub",
726
+ "grass",
727
+ "crop",
728
+ "bare",
729
+ "snow",
730
+ "wetland",
731
+ "mangroves",
732
+ "moss"
733
+ ],
734
+ "colormap": [
735
+ [
736
+ 0,
737
+ 0,
738
+ 0
739
+ ],
740
+ [
741
+ 0,
742
+ 0,
743
+ 255
744
+ ],
745
+ [
746
+ 255,
747
+ 0,
748
+ 0
749
+ ],
750
+ [
751
+ 0,
752
+ 192,
753
+ 0
754
+ ],
755
+ [
756
+ 200,
757
+ 170,
758
+ 120
759
+ ],
760
+ [
761
+ 0,
762
+ 255,
763
+ 0
764
+ ],
765
+ [
766
+ 255,
767
+ 255,
768
+ 0
769
+ ],
770
+ [
771
+ 128,
772
+ 128,
773
+ 128
774
+ ],
775
+ [
776
+ 255,
777
+ 255,
778
+ 255
779
+ ],
780
+ [
781
+ 0,
782
+ 255,
783
+ 255
784
+ ],
785
+ [
786
+ 255,
787
+ 0,
788
+ 255
789
+ ],
790
+ [
791
+ 128,
792
+ 0,
793
+ 128
794
+ ]
795
+ ],
796
+ "band_input": [
797
+ "b04",
798
+ "b03",
799
+ "b02",
800
+ "b08",
801
+ "b11",
802
+ "b12"
803
+ ],
804
+ "allowed_image_input_sizes": [
805
+ 512
806
+ ]
807
+ },
808
+ "evaluation_details": [
809
+ {
810
+ "IOU": 0.60043309802374,
811
+ "IOU mean": 0.32071053807724903,
812
+ "IOU per Class": [
813
+ 0.02531206,
814
+ 0.69731785,
815
+ 0.66974011,
816
+ 0.64281531,
817
+ 0.26527911,
818
+ 0.48739856,
819
+ 0.64375257,
820
+ 0.12220778,
821
+ 0.0,
822
+ 0.10071356,
823
+ 0.19398955,
824
+ 0.0
825
+ ]
826
+ },
827
+ {
828
+ "F1_score Micro": 0.750338266267014,
829
+ "F1_score Macro": 0.4199611489820694,
830
+ "F1_score Weighted": 0.7417369196227206,
831
+ "F1_score per Class": [
832
+ 0.04937435,
833
+ 0.82167032,
834
+ 0.80220881,
835
+ 0.7825777,
836
+ 0.41932109,
837
+ 0.65537049,
838
+ 0.78327186,
839
+ 0.21779885,
840
+ 0.0,
841
+ 0.18299686,
842
+ 0.32494346,
843
+ 0.0
844
+ ]
845
+ },
846
+ {
847
+ "Accuracy": 0.960807917334036,
848
+ "Accuracy per Class": [
849
+ 0.98736844,
850
+ 0.97197588,
851
+ 0.88759186,
852
+ 0.9271481,
853
+ 0.98558033,
854
+ 0.88199576,
855
+ 0.91012261,
856
+ 0.98355426,
857
+ 0.99993557,
858
+ 0.99504554,
859
+ 0.99953092,
860
+ 0.99984574
861
+ ]
862
+ }
863
+ ]
864
+ }
865
+ }