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muses

DEPTH
Model: Marigold
Split: full
Variant: _marigold_affine_fog
Files: 333
Metrics: 28
Compare with:
absrel / median
0.1637
absrel / p90
0.4573
absrel / median
0.1630
absrel / p90
0.4521
rmse / median
1.9870
rmse / p90
8.8622
silog / mean
0.2765
silog / median
0.1605
silog / p90
0.4566
absrel / median
0.3209
absrel / p90
0.5643
rmse / median
14.1310
rmse / p90
28.9927
silog / mean
0.1695
silog / median
0.3863
silog / p90
0.8308
absrel / median
0.1455
absrel / p90
0.3940
rmse / median
2.2259
rmse / p90
7.9657
silog / mean
0.2358
silog / median
0.1448
silog / p90
0.4101
absrel / median
0.1805
absrel / p90
0.5468
rmse / median
1.3390
rmse / p90
3.9837
silog / mean
0.1688
silog / median
0.1707
silog / p90
0.4516
rmse / median
1.9964
rmse / p90
9.0511
silog / mean
0.2804
silog / median
0.1612
silog / p90
0.4619
image mean / absrel
0.2200
all / absrel
0.2190
all / delta1
0.6467
all / delta2
0.8955
all / delta3
0.9666
all / log10
0.0927
all / mae
3.5482
all / rmse
5.5359
all / rmse log
0.2775
all / silog
0.2765
all / sqrel
1.4307
image mean / delta1
0.6451
image mean / delta2
0.8932
image mean / delta3
0.9644
far / absrel
0.4129
far / delta1
0.1163
far / delta2
0.3897
far / delta3
0.6478
far / log10
0.2512
far / mae
18.6485
far / rmse
19.9334
far / rmse log
0.6107
far / silog
0.1695
far / sqrel
9.1456
image mean / log10
0.0935
image mean / mae
3.7025
mid / absrel
0.1896
mid / delta1
0.6781
mid / delta2
0.9140
mid / delta3
0.9779
mid / log10
0.0844
mid / mae
3.3956
mid / rmse
4.6605
mid / rmse log
0.2495
mid / silog
0.2358
mid / sqrel
1.1469
near / absrel
0.2847
near / delta1
0.6020
near / delta2
0.8828
near / delta3
0.9624
near / log10
0.1017
near / mae
2.0621
near / rmse
2.5663
near / rmse log
0.2786
near / silog
0.1688
near / sqrel
1.3402
image mean / rmse
6.1199
image mean / rmse log
0.2814
image mean / silog
0.2804
image mean / sqrel
1.5300
image median / absrel
0.1990
all / absrel
0.1987
all / delta1
0.6897
all / delta2
0.9275
all / delta3
0.9783
all / log10
0.0865
all / mae
3.3207
all / rmse
5.2045
all / rmse log
0.2659
all / silog
0.2648
all / sqrel
1.1729
image median / delta1
0.6897
image median / delta2
0.9254
image median / delta3
0.9770
far / absrel
0.4071
far / delta1
0.000e+0
far / delta2
0.3296
far / delta3
0.7962
far / log10
0.2363
far / mae
18.1626
far / rmse
19.6327
far / rmse log
0.5909
far / silog
0.1662
far / sqrel
8.2794
image median / log10
0.0866
image median / mae
3.3960
mid / absrel
0.1752
mid / delta1
0.7262
mid / delta2
0.9373
mid / delta3
0.9885
mid / log10
0.0796
mid / mae
3.1516
mid / rmse
4.5028
mid / rmse log
0.2410
mid / silog
0.2274
mid / sqrel
0.9689
near / absrel
0.2251
near / delta1
0.6835
near / delta2
0.9751
near / delta3
0.9988
near / log10
0.0833
near / mae
1.6368
near / rmse
2.1234
near / rmse log
0.2354
near / silog
0.1349
near / sqrel
0.6050
image median / rmse
5.4068
image median / rmse log
0.2693
image median / silog
0.2677
image median / sqrel
1.2241
pixel pool / absrel
0.2217
all / absrel
0.2204
all / delta1
0.6474
all / delta2
0.8939
all / delta3
0.9656
all / log10
0.0929
all / mae
3.6844
all / rmse
6.1853
all / rmse log
0.2924
all / silog
0.2922
all / sqrel
1.5078
pixel pool / delta1
0.6452
pixel pool / delta2
0.8909
pixel pool / delta3
0.9628
far / absrel
0.3300
far / delta1
0.2522
far / delta2
0.5883
far / delta3
0.8052
far / log10
0.1904
far / mae
15.8371
far / rmse
18.6632
far / rmse log
0.5277
far / silog
0.3051
far / sqrel
6.7726
pixel pool / log10
0.0940
pixel pool / mae
3.8874
mid / absrel
0.1876
mid / delta1
0.6891
mid / delta2
0.9205
mid / delta3
0.9807
mid / log10
0.0823
mid / mae
3.3851
mid / rmse
4.8476
mid / rmse log
0.2522
mid / silog
0.2517
mid / sqrel
1.1410
near / absrel
0.2709
near / delta1
0.6350
near / delta2
0.8968
near / delta3
0.9646
near / log10
0.0967
near / mae
1.8895
near / rmse
2.8684
near / rmse log
0.3079
near / silog
0.2632
near / sqrel
1.2550
pixel pool / rmse
7.2872
pixel pool / rmse log
0.2976
pixel pool / silog
0.2975
pixel pool / sqrel
1.6371
absrel / median
0.9682
absrel / p90
0.9790
absrel / median
0.9682
absrel / p90
0.9788
rmse / median
12.2762
rmse / p90
29.7653
silog / mean
0.2744
silog / median
3.4476
silog / p90
3.8549
absrel / median
0.9801
absrel / p90
0.9867
rmse / median
42.4199
rmse / p90
60.8913
silog / mean
0.1761
silog / median
3.9194
silog / p90
4.3166
absrel / median
0.9678
absrel / p90
0.9778
rmse / median
14.9977
rmse / p90
27.3612
silog / mean
0.2398
silog / median
3.4369
silog / p90
3.8091
absrel / median
0.9669
absrel / p90
0.9764
rmse / median
7.3155
rmse / p90
8.5535
silog / mean
0.1808
silog / median
3.4069
silog / p90
3.7456
rmse / median
12.3115
rmse / p90
30.0961
silog / mean
0.2794
silog / median
3.4489
silog / p90
3.8619
image mean / absrel
0.9609
all / absrel
0.9609
all / delta1
0.000e+0
all / delta2
0.000e+0
all / delta3
9.664e-7
all / log10
1.4554
all / mae
15.1816
all / rmse
17.6283
all / rmse log
3.3642
all / silog
0.2744
all / sqrel
14.6641
image mean / delta1
0.000e+0
image mean / delta2
0.000e+0
image mean / delta3
9.662e-7
far / absrel
0.9788
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
1.6898
far / mae
43.2422
far / rmse
43.7767
far / rmse log
3.8962
far / silog
0.1761
far / sqrel
42.3516
image mean / log10
1.4566
image mean / mae
15.4031
mid / absrel
0.9625
mid / delta1
0.000e+0
mid / delta2
0.000e+0
mid / delta3
0.000e+0
mid / log10
1.4585
mid / mae
16.5758
mid / rmse
17.6849
mid / rmse log
3.3679
mid / silog
0.2398
mid / sqrel
15.9904
near / absrel
0.9567
near / delta1
0.000e+0
near / delta2
0.000e+0
near / delta3
3.484e-6
near / log10
1.4226
near / mae
7.2696
near / rmse
7.3349
near / rmse log
3.2834
near / silog
0.1808
near / sqrel
6.9674
image mean / rmse
18.1620
image mean / rmse log
3.3673
image mean / silog
0.2794
image mean / sqrel
14.8843
image median / absrel
0.9659
all / absrel
0.9658
all / delta1
0.000e+0
all / delta2
0.000e+0
all / delta3
0.000e+0
all / log10
1.4878
all / mae
14.7388
all / rmse
17.0597
all / rmse log
3.4350
all / silog
0.2612
all / sqrel
14.2124
image median / delta1
0.000e+0
image median / delta2
0.000e+0
image median / delta3
0.000e+0
far / absrel
0.9784
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
1.6744
far / mae
42.1677
far / rmse
42.6752
far / rmse log
3.8602
far / silog
0.1642
far / sqrel
41.2637
image median / log10
1.4878
image median / mae
14.7926
mid / absrel
0.9653
mid / delta1
0.000e+0
mid / delta2
0.000e+0
mid / delta3
0.000e+0
mid / log10
1.4714
mid / mae
16.4718
mid / rmse
17.7240
mid / rmse log
3.3985
mid / silog
0.2273
mid / sqrel
15.9480
near / absrel
0.9647
near / delta1
0.000e+0
near / delta2
0.000e+0
near / delta3
0.000e+0
near / log10
1.4700
near / mae
7.4848
near / rmse
7.5272
near / rmse log
3.3880
near / silog
0.1505
near / sqrel
7.2138
image median / rmse
17.2795
image median / rmse log
3.4379
image median / silog
0.2691
image median / sqrel
14.2741
pixel pool / absrel
0.9644
all / absrel
0.9643
all / delta1
0.000e+0
all / delta2
0.000e+0
all / delta3
4.418e-7
all / log10
1.4873
all / mae
15.7122
all / rmse
18.8968
all / rmse log
3.4479
all / silog
0.3999
all / sqrel
15.2178
pixel pool / delta1
0.000e+0
pixel pool / delta2
0.000e+0
pixel pool / delta3
4.403e-7
far / absrel
0.9802
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
1.7191
far / mae
45.6536
far / rmse
46.7015
far / rmse log
3.9684
far / silog
0.2805
far / sqrel
44.7772
pixel pool / log10
1.4892
pixel pool / mae
16.0121
mid / absrel
0.9655
mid / delta1
0.000e+0
mid / delta2
0.000e+0
mid / delta3
0.000e+0
mid / log10
1.4878
mid / mae
16.8609
mid / rmse
18.1161
mid / rmse log
3.4425
mid / silog
0.3388
mid / sqrel
16.3048
near / absrel
0.9585
near / delta1
0.000e+0
near / delta2
0.000e+0
near / delta3
1.509e-6
near / log10
1.4393
near / mae
7.1172
near / rmse
7.2318
near / rmse log
3.3451
near / silog
0.4542
near / sqrel
6.8364
pixel pool / rmse
19.8330
pixel pool / rmse log
3.4529
pixel pool / silog
0.4059
pixel pool / sqrel
15.5160
Euler View - ML Experiment Monitor