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real-drive-sim

DEPTH
Model: UniDepthV2
Split: full
Variant: _UniDepthV2_foggy
Files: 762
Metrics: 20
Compare with:
absrel / median
0.1408
absrel / p90
0.2854
absrel / median
0.1333
absrel / p90
0.2309
rmse / median
1.7082
rmse / p90
9.3587
silog / mean
0.1124
silog / median
0.1422
silog / p90
0.2599
absrel / median
0.1334
absrel / p90
0.2308
rmse / median
1.7149
rmse / p90
9.3706
silog / mean
0.1123
silog / median
0.1423
silog / p90
0.2598
absrel / median
0.1021
absrel / p90
0.2852
rmse / median
0.3045
rmse / p90
0.9477
silog / mean
0.0293
silog / median
0.0995
silog / p90
0.3356
rmse / median
2.1971
rmse / p90
22.7923
silog / mean
0.6636
silog / median
0.1505
silog / p90
0.3240
normal consistency / mean angle
5.0122
normal consistency / median angle
0.6148
normal consistency / percent below 11 25
90.0741
normal consistency / percent below 22 5
93.7300
normal consistency / percent below 30
95.0225
depth edge f1 / f1
0.6453
depth edge f1 / precision
0.8707
depth edge f1 / recall
0.5297
normal consistency / mean angle
5.0247
normal consistency / median angle
0.6180
normal consistency / percent below 11 25
90.0492
normal consistency / percent below 22 5
93.7142
normal consistency / percent below 30
95.0098
normal consistency / mean angle
0.1949
normal consistency / median angle
0.0523
normal consistency / percent below 11 25
99.7921
normal consistency / percent below 22 5
99.8501
normal consistency / percent below 30
99.8725
normal consistency / mean angle
10.7812
normal consistency / median angle
0.8765
normal consistency / percent below 11 25
80.9239
normal consistency / percent below 22 5
85.9008
normal consistency / percent below 30
87.9317
image quality / fid
69.1107
image quality / kid mean
0.0354
image quality / kid std
1.228e-7
image quality / lpips
0.2259
image quality / psnr
21.2217
image quality / ssim
0.9343
image mean / absrel
0.1910
all / absrel
0.1466
all / delta1
0.8301
all / delta2
0.9869
all / delta3
0.9940
all / log10
0.0660
all / mae
4.0422
all / rmse
9.5138
all / rmse log
0.1840
all / silog
0.1124
all / sqrel
2.8066
image mean / delta1
0.7664
image mean / delta2
0.9342
image mean / delta3
0.9524
far / absrel
0.1466
far / delta1
0.8300
far / delta2
0.9869
far / delta3
0.9940
far / log10
0.0660
far / mae
4.0479
far / rmse
9.5224
far / rmse log
0.1840
far / silog
0.1123
far / sqrel
2.8092
image mean / log10
0.1332
image mean / mae
878.4867
mid / absrel
0.1321
mid / delta1
0.8269
mid / delta2
0.9862
mid / delta3
0.9996
mid / log10
0.0619
mid / mae
0.4574
mid / rmse
0.6463
mid / rmse log
0.1474
mid / silog
0.0293
mid / sqrel
0.2350
image mean / rmse
4031.2778
image mean / rmse log
0.7232
image mean / silog
0.6636
image mean / sqrel
867.0368
image median / absrel
0.1877
all / absrel
0.1491
all / delta1
0.9027
all / delta2
0.9920
all / delta3
0.9966
all / log10
0.0670
all / mae
3.8469
all / rmse
7.9916
all / rmse log
0.1839
all / silog
0.1026
all / sqrel
1.4270
image median / delta1
0.8233
image median / delta2
0.9447
image median / delta3
0.9635
far / absrel
0.1495
far / delta1
0.9024
far / delta2
0.9920
far / delta3
0.9966
far / log10
0.0673
far / mae
3.8600
far / rmse
7.9916
far / rmse log
0.1839
far / silog
0.1026
far / sqrel
1.4309
image median / log10
0.1158
image median / mae
530.8371
mid / absrel
0.1005
mid / delta1
1.0000
mid / delta2
1.0000
mid / delta3
1.0000
mid / log10
0.0434
mid / mae
0.3194
mid / rmse
0.4983
mid / rmse log
0.1231
mid / silog
0.0133
mid / sqrel
0.0661
image median / rmse
3835.4770
image median / rmse log
0.6814
image median / silog
0.6335
image median / sqrel
520.9195
pixel pool / absrel
0.1906
all / absrel
0.1475
all / delta1
0.8264
all / delta2
0.9869
all / delta3
0.9940
all / log10
0.0665
all / mae
4.0971
all / rmse
12.0756
all / rmse log
0.1939
all / silog
0.1517
all / sqrel
2.8235
pixel pool / delta1
0.7648
pixel pool / delta2
0.9361
pixel pool / delta3
0.9543
far / absrel
0.1475
far / delta1
0.8265
far / delta2
0.9869
far / delta3
0.9940
far / log10
0.0665
far / mae
4.1066
far / rmse
12.0911
far / rmse log
0.1939
far / silog
0.1517
far / sqrel
2.8298
pixel pool / log10
0.1302
pixel pool / mae
827.2456
mid / absrel
0.1407
mid / delta1
0.7974
mid / delta2
0.9800
mid / delta3
0.9991
mid / log10
0.0650
mid / mae
0.4460
mid / rmse
1.0461
mid / rmse log
0.1893
mid / silog
0.1719
mid / sqrel
0.3722
pixel pool / rmse
5063.7043
pixel pool / rmse log
0.8323
pixel pool / silog
0.7950
pixel pool / sqrel
816.2000
Euler View - ML Experiment Monitor