No jobs
Back to Datasets

muses

DEPTH
Model: SD 2.1. Mari
Split: full
Variant: _metric_3D_full_joint_ep_17
Files: 333
Metrics: 14
Compare with:
absrel / median
0.3008
absrel / p90
0.8625
absrel / median
0.2998
absrel / p90
0.8644
rmse / median
3.8316
rmse / p90
14.2585
silog / mean
0.3793
silog / median
0.2936
silog / p90
0.7370
absrel / median
0.3670
absrel / p90
0.6145
rmse / median
15.9959
rmse / p90
32.9427
silog / mean
0.2384
silog / median
0.4450
silog / p90
0.8935
absrel / median
0.2468
absrel / p90
0.6768
rmse / median
3.9271
rmse / p90
13.0082
silog / mean
0.3312
silog / median
0.2488
silog / p90
0.6718
absrel / median
0.4256
absrel / p90
1.3414
rmse / median
3.1508
rmse / p90
9.3433
silog / mean
0.2036
silog / median
0.3598
silog / p90
0.8507
rmse / median
3.8487
rmse / p90
14.5111
silog / mean
0.3819
silog / median
0.2946
silog / p90
0.7433
image mean / absrel
0.5375
all / absrel
0.5371
all / delta1
0.3560
all / delta2
0.6575
all / delta3
0.8345
all / log10
0.1721
all / mae
7.0740
all / rmse
11.1773
all / rmse log
0.4909
all / silog
0.3793
all / sqrel
11.0842
image mean / delta1
0.3551
image mean / delta2
0.6560
image mean / delta3
0.8327
far / absrel
0.3734
far / delta1
0.2561
far / delta2
0.5441
far / delta3
0.7570
far / log10
0.2066
far / mae
16.7045
far / rmse
18.9568
far / rmse log
0.5200
far / silog
0.2384
far / sqrel
8.9289
image mean / log10
0.1728
image mean / mae
7.2189
mid / absrel
0.4280
mid / delta1
0.4214
mid / delta2
0.7133
mid / delta3
0.8714
mid / log10
0.1514
mid / mae
7.0023
mid / rmse
10.9409
mid / rmse log
0.4364
mid / silog
0.3312
mid / sqrel
8.7927
near / absrel
0.7611
near / delta1
0.2242
near / delta2
0.5731
near / delta3
0.7786
near / log10
0.2066
near / mae
5.4064
near / rmse
7.1199
near / rmse log
0.5282
near / silog
0.2036
near / sqrel
14.4098
image mean / rmse
11.5224
image mean / rmse log
0.4931
image mean / silog
0.3819
image mean / sqrel
11.1635
image median / absrel
0.4175
all / absrel
0.4177
all / delta1
0.3668
all / delta2
0.7111
all / delta3
0.8970
all / log10
0.1534
all / mae
6.4897
all / rmse
10.5755
all / rmse log
0.4440
all / silog
0.3694
all / sqrel
5.8211
image median / delta1
0.3656
image median / delta2
0.7068
image median / delta3
0.8953
far / absrel
0.3523
far / delta1
0.1745
far / delta2
0.5939
far / delta3
0.9127
far / log10
0.1787
far / mae
15.7021
far / rmse
18.4935
far / rmse log
0.4678
far / silog
0.2185
far / sqrel
7.4760
image median / log10
0.1540
image median / mae
6.6147
mid / absrel
0.3457
mid / delta1
0.4424
mid / delta2
0.7666
mid / delta3
0.9220
mid / log10
0.1369
mid / mae
6.1263
mid / rmse
9.4855
mid / rmse log
0.4153
mid / silog
0.3173
mid / sqrel
4.6695
near / absrel
0.5676
near / delta1
0.0754
near / delta2
0.6971
near / delta3
0.9329
near / log10
0.1812
near / mae
4.0757
near / rmse
5.0827
near / rmse log
0.4665
near / silog
0.1566
near / sqrel
3.4794
image median / rmse
10.6598
image median / rmse log
0.4476
image median / silog
0.3705
image median / sqrel
6.1389
pixel pool / absrel
0.4748
all / absrel
0.4744
all / delta1
0.3857
all / delta2
0.7049
all / delta3
0.8727
all / log10
0.1583
all / mae
6.6502
all / rmse
12.1723
all / rmse log
0.4842
all / silog
0.4713
all / sqrel
10.5655
pixel pool / delta1
0.3845
pixel pool / delta2
0.7028
pixel pool / delta3
0.8704
far / absrel
0.3783
far / delta1
0.2119
far / delta2
0.5017
far / delta3
0.7598
far / log10
0.2104
far / mae
18.0660
far / rmse
21.8655
far / rmse log
0.5754
far / silog
0.4040
far / sqrel
9.5557
pixel pool / log10
0.1591
pixel pool / mae
6.8445
mid / absrel
0.3742
mid / delta1
0.4557
mid / delta2
0.7547
mid / delta3
0.8990
mid / log10
0.1393
mid / mae
6.4283
mid / rmse
11.9235
mid / rmse log
0.4300
mid / silog
0.4293
mid / sqrel
7.9643
near / absrel
0.7167
near / delta1
0.2661
near / delta2
0.6361
near / delta3
0.8373
near / log10
0.1895
near / mae
4.7955
near / rmse
9.6767
near / rmse log
0.5695
near / silog
0.3960
near / sqrel
16.5477
pixel pool / rmse
12.7583
pixel pool / rmse log
0.4871
pixel pool / silog
0.4751
pixel pool / sqrel
10.6644
Euler View - ML Experiment Monitor