Back to Datasets
muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_mari_metric_ohead_satFiles: 333
Metrics: 14
Compare with:
absrel / median
0.2414
absrel / p90
0.5944
absrel / median
0.2404
absrel / p90
0.5914
rmse / median
2.8591
rmse / p90
13.9906
silog / mean
0.3911
silog / median
0.2480
silog / p90
0.7389
absrel / median
0.4008
absrel / p90
0.7058
rmse / median
18.2406
rmse / p90
35.2500
silog / mean
0.2852
silog / median
0.5042
silog / p90
1.1463
absrel / median
0.2448
absrel / p90
0.5812
rmse / median
3.7829
rmse / p90
13.0231
silog / mean
0.3513
silog / median
0.2661
silog / p90
0.7844
absrel / median
0.2004
absrel / p90
0.5643
rmse / median
1.4791
rmse / p90
3.8407
silog / mean
0.2039
silog / median
0.1916
silog / p90
0.4610
rmse / median
2.8749
rmse / p90
14.2920
silog / mean
0.3929
silog / median
0.2490
silog / p90
0.7462
image mean / absrel
0.3727
all / absrel
0.3721
all / delta1
0.4450
all / delta2
0.7318
all / delta3
0.8664
all / log10
0.1521
all / mae
6.1856
all / rmse
12.1081
all / rmse log
0.4570
all / silog
0.3911
all / sqrel
12.6632
image mean / delta1
0.4439
image mean / delta2
0.7302
image mean / delta3
0.8647
far / absrel
0.4507
far / delta1
0.1721
far / delta2
0.4125
far / delta3
0.6241
far / log10
0.2789
far / mae
20.0610
far / rmse
23.3654
far / rmse log
0.6963
far / silog
0.2852
far / sqrel
13.9485
image mean / log10
0.1529
image mean / mae
6.3407
mid / absrel
0.3562
mid / delta1
0.4285
mid / delta2
0.6963
mid / delta3
0.8431
mid / log10
0.1597
mid / mae
6.5996
mid / rmse
12.3996
mid / rmse log
0.4657
mid / silog
0.3513
mid / sqrel
12.3878
near / absrel
0.3558
near / delta1
0.5631
near / delta2
0.8860
near / delta3
0.9680
near / log10
0.1062
near / mae
2.4819
near / rmse
4.5739
near / rmse log
0.3092
near / silog
0.2039
near / sqrel
10.6403
image mean / rmse
12.4271
image mean / rmse log
0.4594
image mean / silog
0.3929
image mean / sqrel
12.7286
image median / absrel
0.3216
all / absrel
0.3206
all / delta1
0.4542
all / delta2
0.7811
all / delta3
0.9193
all / log10
0.1384
all / mae
5.3708
all / rmse
9.3648
all / rmse log
0.4165
all / silog
0.3666
all / sqrel
4.3753
image median / delta1
0.4517
image median / delta2
0.7801
image median / delta3
0.9194
far / absrel
0.4266
far / delta1
0.0967
far / delta2
0.4060
far / delta3
0.7569
far / log10
0.2288
far / mae
18.6132
far / rmse
22.0462
far / rmse log
0.5913
far / silog
0.2707
far / sqrel
10.7165
image median / log10
0.1389
image median / mae
5.4166
mid / absrel
0.3173
mid / delta1
0.4553
mid / delta2
0.7585
mid / delta3
0.9139
mid / log10
0.1377
mid / mae
5.7763
mid / rmse
9.3621
mid / rmse log
0.4176
mid / silog
0.3255
mid / sqrel
4.2261
near / absrel
0.2664
near / delta1
0.5868
near / delta2
0.9441
near / delta3
0.9974
near / log10
0.0970
near / mae
1.9041
near / rmse
2.6554
near / rmse log
0.2768
near / silog
0.1612
near / sqrel
0.9636
image median / rmse
9.4101
image median / rmse log
0.4180
image median / silog
0.3665
image median / sqrel
4.3784
pixel pool / absrel
0.3782
all / absrel
0.3774
all / delta1
0.4591
all / delta2
0.7439
all / delta3
0.8756
all / log10
0.1478
all / mae
6.4429
all / rmse
16.2104
all / rmse log
0.4801
all / silog
0.4666
all / sqrel
15.4593
pixel pool / delta1
0.4576
pixel pool / delta2
0.7415
pixel pool / delta3
0.8732
far / absrel
0.4463
far / delta1
0.1520
far / delta2
0.4245
far / delta3
0.6694
far / log10
0.2567
far / mae
21.0397
far / rmse
27.8063
far / rmse log
0.7104
far / silog
0.4867
far / sqrel
16.1950
pixel pool / log10
0.1489
pixel pool / mae
6.6505
mid / absrel
0.3657
mid / delta1
0.4366
mid / delta2
0.7072
mid / delta3
0.8551
mid / log10
0.1559
mid / mae
6.8342
mid / rmse
17.1050
mid / rmse log
0.4943
mid / silog
0.4506
mid / sqrel
15.5618
near / absrel
0.3893
near / delta1
0.5723
near / delta2
0.8911
near / delta3
0.9634
near / log10
0.1075
near / mae
2.5731
near / rmse
9.5743
near / rmse log
0.3785
near / silog
0.3374
near / sqrel
15.0804
pixel pool / rmse
16.6950
pixel pool / rmse log
0.4839
pixel pool / silog
0.4698
pixel pool / sqrel
15.5580