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muses

DEPTH
Model: Marigold
Split: full
Variant: _marigold_affine_clear
Files: 333
Metrics: 28
Compare with:
absrel / median
0.2060
absrel / p90
0.5446
absrel / median
0.2051
absrel / p90
0.5397
rmse / median
2.5546
rmse / p90
10.2675
silog / mean
0.3162
silog / median
0.2009
silog / p90
0.5431
absrel / median
0.3632
absrel / p90
0.6241
rmse / median
16.4419
rmse / p90
31.3978
silog / mean
0.2080
silog / median
0.4509
silog / p90
0.9783
absrel / median
0.1678
absrel / p90
0.4366
rmse / median
2.5763
rmse / p90
9.1618
silog / mean
0.2653
silog / median
0.1675
silog / p90
0.4706
absrel / median
0.2795
absrel / p90
0.7468
rmse / median
2.0816
rmse / p90
5.1965
silog / mean
0.1486
silog / median
0.2477
silog / p90
0.5586
rmse / median
2.5660
rmse / p90
10.4808
silog / mean
0.3203
silog / median
0.2018
silog / p90
0.5500
image mean / absrel
0.2619
all / absrel
0.2612
all / delta1
0.5635
all / delta2
0.8554
all / delta3
0.9482
all / log10
0.1077
all / mae
4.0493
all / rmse
6.1356
all / rmse log
0.3180
all / silog
0.3162
all / sqrel
1.8843
image mean / delta1
0.5623
image mean / delta2
0.8534
image mean / delta3
0.9461
far / absrel
0.4243
far / delta1
0.1296
far / delta2
0.3660
far / delta3
0.6060
far / log10
0.2644
far / mae
19.2065
far / rmse
20.6081
far / rmse log
0.6525
far / silog
0.2080
far / sqrel
9.8414
image mean / log10
0.1086
image mean / mae
4.2093
mid / absrel
0.2080
mid / delta1
0.6289
mid / delta2
0.8866
mid / delta3
0.9634
mid / log10
0.0939
mid / mae
3.7529
mid / rmse
5.2354
mid / rmse log
0.2826
mid / silog
0.2653
mid / sqrel
1.4356
near / absrel
0.4015
near / delta1
0.4114
near / delta2
0.7993
near / delta3
0.9366
near / log10
0.1331
near / mae
2.8820
near / rmse
3.3332
near / rmse log
0.3432
near / silog
0.1486
near / sqrel
2.2372
image mean / rmse
6.6866
image mean / rmse log
0.3218
image mean / silog
0.3203
image mean / sqrel
1.9915
image median / absrel
0.2379
all / absrel
0.2375
all / delta1
0.5803
all / delta2
0.8945
all / delta3
0.9674
all / log10
0.1019
all / mae
3.8453
all / rmse
5.6263
all / rmse log
0.3031
all / silog
0.3028
all / sqrel
1.4760
image median / delta1
0.5793
image median / delta2
0.8927
image median / delta3
0.9647
far / absrel
0.4218
far / delta1
0.0051
far / delta2
0.2773
far / delta3
0.7082
far / log10
0.2536
far / mae
18.9581
far / rmse
20.3223
far / rmse log
0.6349
far / silog
0.1984
far / sqrel
8.8178
image median / log10
0.1030
image median / mae
3.8672
mid / absrel
0.1995
mid / delta1
0.6483
mid / delta2
0.9069
mid / delta3
0.9735
mid / log10
0.0913
mid / mae
3.6109
mid / rmse
5.1024
mid / rmse log
0.2764
mid / silog
0.2577
mid / sqrel
1.2147
near / absrel
0.3178
near / delta1
0.3737
near / delta2
0.9452
near / delta3
0.9995
near / log10
0.1159
near / mae
2.3690
near / rmse
2.6963
near / rmse log
0.2989
near / silog
0.1197
near / sqrel
0.9854
image median / rmse
5.6432
image median / rmse log
0.3048
image median / silog
0.3047
image median / sqrel
1.5010
pixel pool / absrel
0.2738
all / absrel
0.2726
all / delta1
0.5443
all / delta2
0.8447
all / delta3
0.9428
all / log10
0.1118
all / mae
4.3299
all / rmse
7.0053
all / rmse log
0.3443
all / silog
0.3430
all / sqrel
2.0763
pixel pool / delta1
0.5424
pixel pool / delta2
0.8418
pixel pool / delta3
0.9400
far / absrel
0.3699
far / delta1
0.1981
far / delta2
0.4941
far / delta3
0.7245
far / log10
0.2221
far / mae
17.7064
far / rmse
20.5739
far / rmse log
0.6098
far / silog
0.3430
far / sqrel
8.3051
pixel pool / log10
0.1130
pixel pool / mae
4.5428
mid / absrel
0.2138
mid / delta1
0.6196
mid / delta2
0.8877
mid / delta3
0.9642
mid / log10
0.0949
mid / mae
3.8673
mid / rmse
5.5626
mid / rmse log
0.2922
mid / silog
0.2902
mid / sqrel
1.5077
near / absrel
0.3829
near / delta1
0.4477
near / delta2
0.8205
near / delta3
0.9396
near / log10
0.1268
near / mae
2.6492
near / rmse
3.6805
near / rmse log
0.3750
near / silog
0.2535
near / sqrel
2.0754
pixel pool / rmse
8.0942
pixel pool / rmse log
0.3499
pixel pool / silog
0.3489
pixel pool / sqrel
2.2193
absrel / median
0.9733
absrel / p90
0.9840
absrel / median
0.9733
absrel / p90
0.9839
rmse / median
12.3705
rmse / p90
29.8795
silog / mean
0.3543
silog / median
3.6223
silog / p90
4.1287
absrel / median
0.9823
absrel / p90
0.9897
rmse / median
42.5084
rmse / p90
60.9556
silog / mean
0.2601
silog / median
4.0321
silog / p90
4.5724
absrel / median
0.9730
absrel / p90
0.9838
rmse / median
15.0910
rmse / p90
27.4797
silog / mean
0.3408
silog / median
3.6119
silog / p90
4.1241
absrel / median
0.9722
absrel / p90
0.9809
rmse / median
7.3724
rmse / p90
8.6194
silog / mean
0.2372
silog / median
3.5816
silog / p90
3.9597
rmse / median
12.4052
rmse / p90
30.2196
silog / mean
0.3575
silog / median
3.6236
silog / p90
4.1381
image mean / absrel
0.9712
all / absrel
0.9712
all / delta1
0.000e+0
all / delta2
9.664e-7
all / delta3
9.664e-7
all / log10
1.5822
all / mae
15.3073
all / rmse
17.7466
all / rmse log
3.6628
all / silog
0.3543
all / sqrel
14.9054
image mean / delta1
0.000e+0
image mean / delta2
9.662e-7
image mean / delta3
9.662e-7
far / absrel
0.9812
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
1.7535
far / mae
43.3411
far / rmse
43.8726
far / rmse log
4.0486
far / silog
0.2601
far / sqrel
42.5455
image mean / log10
1.5834
image mean / mae
15.5289
mid / absrel
0.9714
mid / delta1
0.000e+0
mid / delta2
0.000e+0
mid / delta3
0.000e+0
mid / log10
1.5799
mid / mae
16.7125
mid / rmse
17.8170
mid / rmse log
3.6559
mid / silog
0.3408
mid / sqrel
16.2537
near / absrel
0.9695
near / delta1
0.000e+0
near / delta2
3.484e-6
near / delta3
3.484e-6
near / log10
1.5577
near / mae
7.3652
near / rmse
7.4317
near / rmse log
3.5993
near / silog
0.2372
near / sqrel
7.1488
image mean / rmse
18.2796
image mean / rmse log
3.6658
image mean / silog
0.3575
image mean / sqrel
15.1256
image median / absrel
0.9723
all / absrel
0.9723
all / delta1
0.000e+0
all / delta2
0.000e+0
all / delta3
0.000e+0
all / log10
1.5834
all / mae
14.9478
all / rmse
17.2663
all / rmse log
3.6645
all / silog
0.3271
all / sqrel
14.5584
image median / delta1
0.000e+0
image median / delta2
0.000e+0
image median / delta3
0.000e+0
far / absrel
0.9812
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
1.7428
far / mae
42.3327
far / rmse
42.7400
far / rmse log
4.0234
far / silog
0.2288
far / sqrel
41.4485
image median / log10
1.5855
image median / mae
14.9771
mid / absrel
0.9723
mid / delta1
0.000e+0
mid / delta2
0.000e+0
mid / delta3
0.000e+0
mid / log10
1.5796
mid / mae
16.6205
mid / rmse
17.8372
mid / rmse log
3.6524
mid / silog
0.3127
mid / sqrel
16.1764
near / absrel
0.9715
near / delta1
0.000e+0
near / delta2
0.000e+0
near / delta3
0.000e+0
near / log10
1.5607
near / mae
7.5818
near / rmse
7.6174
near / rmse log
3.6013
near / silog
0.2012
near / sqrel
7.3639
image median / rmse
17.2950
image median / rmse log
3.6666
image median / silog
0.3300
image median / sqrel
14.5650
pixel pool / absrel
0.9714
all / absrel
0.9713
all / delta1
0.000e+0
all / delta2
4.419e-7
all / delta3
4.419e-7
all / log10
1.5840
all / mae
15.8041
all / rmse
18.9801
all / rmse log
3.6718
all / silog
0.4246
all / sqrel
15.3951
pixel pool / delta1
0.000e+0
pixel pool / delta2
4.403e-7
pixel pool / delta3
4.403e-7
far / absrel
0.9823
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
1.7779
far / mae
45.7466
far / rmse
46.7905
far / rmse log
4.1108
far / silog
0.3738
far / sqrel
44.9596
pixel pool / log10
1.5856
pixel pool / mae
16.1039
mid / absrel
0.9718
mid / delta1
0.000e+0
mid / delta2
0.000e+0
mid / delta3
0.000e+0
mid / log10
1.5828
mid / mae
16.9629
mid / rmse
18.2170
mid / rmse log
3.6672
mid / silog
0.4068
mid / sqrel
16.5023
near / absrel
0.9681
near / delta1
0.000e+0
near / delta2
1.509e-6
near / delta3
1.509e-6
near / log10
1.5473
near / mae
7.1866
near / rmse
7.2995
near / rmse log
3.5871
near / silog
0.4171
near / sqrel
6.9684
pixel pool / rmse
19.9132
pixel pool / rmse log
3.6761
pixel pool / silog
0.4292
pixel pool / sqrel
15.6931
Euler View - ML Experiment Monitor