Back to Datasets
princeton_stf
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_final_2_pngFiles: 943
Metrics: 14
Compare with:
absrel / median
0.2701
absrel / p90
0.5078
absrel / median
0.2698
absrel / p90
0.5049
rmse / median
3.4384
rmse / p90
14.8434
silog / mean
0.3839
silog / median
0.3129
silog / p90
0.6770
absrel / median
0.4821
absrel / p90
0.6861
rmse / median
21.5514
rmse / p90
36.8362
silog / mean
0.3226
silog / median
0.6555
silog / p90
1.1539
absrel / median
0.2824
absrel / p90
0.4648
rmse / median
4.2910
rmse / p90
11.6385
silog / mean
0.2364
silog / median
0.3299
silog / p90
0.6069
absrel / median
0.2256
absrel / p90
0.3379
rmse / median
1.7601
rmse / p90
2.7751
silog / mean
0.4109
silog / median
0.2553
silog / p90
0.4071
rmse / median
3.4501
rmse / p90
15.0565
silog / mean
0.3857
silog / median
0.3133
silog / p90
0.6824
image mean / absrel
0.4939
all / absrel
0.4942
all / delta1
0.2749
all / delta2
0.7678
all / delta3
0.8971
all / log10
0.1686
all / mae
5.9896
all / rmse
8.9262
all / rmse log
0.5045
all / silog
0.3839
all / sqrel
7.7803
image mean / delta1
0.2745
image mean / delta2
0.7664
image mean / delta3
0.8958
far / absrel
0.4530
far / delta1
0.1097
far / delta2
0.2995
far / delta3
0.5669
far / log10
0.2928
far / mae
21.4208
far / rmse
23.2892
far / rmse log
0.7510
far / silog
0.3226
far / sqrel
11.6068
image mean / log10
0.1691
image mean / mae
6.0898
mid / absrel
0.2991
mid / delta1
0.2466
mid / delta2
0.7665
mid / delta3
0.9273
mid / log10
0.1551
mid / mae
5.5801
mid / rmse
7.0740
mid / rmse log
0.4094
mid / silog
0.2364
mid / sqrel
2.4682
near / absrel
0.8999
near / delta1
0.3737
near / delta2
0.9096
near / delta3
0.9261
near / log10
0.1620
near / mae
2.9340
near / rmse
4.6567
near / rmse log
0.5186
near / silog
0.4109
near / sqrel
17.7664
image mean / rmse
9.2275
image mean / rmse log
0.5065
image mean / silog
0.3857
image mean / sqrel
7.8265
image median / absrel
0.3450
all / absrel
0.3445
all / delta1
0.2208
all / delta2
0.7866
all / delta3
0.9132
all / log10
0.1638
all / mae
5.9642
all / rmse
8.7867
all / rmse log
0.4700
all / silog
0.3243
all / sqrel
3.6856
image median / delta1
0.2197
image median / delta2
0.7858
image median / delta3
0.9125
far / absrel
0.4553
far / delta1
0.0526
far / delta2
0.2353
far / delta3
0.6000
far / log10
0.2817
far / mae
21.0184
far / rmse
22.8729
far / rmse log
0.7193
far / silog
0.3119
far / sqrel
10.7533
image median / log10
0.1644
image median / mae
6.0545
mid / absrel
0.2978
mid / delta1
0.1858
mid / delta2
0.7965
mid / delta3
0.9526
mid / log10
0.1547
mid / mae
5.5307
mid / rmse
6.9519
mid / rmse log
0.3996
mid / silog
0.2207
mid / sqrel
2.1662
near / absrel
0.3130
near / delta1
0.2905
near / delta2
0.9690
near / delta3
0.9851
near / log10
0.1297
near / mae
2.1097
near / rmse
2.8336
near / rmse log
0.3566
near / silog
0.2586
near / sqrel
1.7396
image median / rmse
9.0942
image median / rmse log
0.4713
image median / silog
0.3270
image median / sqrel
3.7053
pixel pool / absrel
0.4643
all / absrel
0.4639
all / delta1
0.2580
all / delta2
0.7644
all / delta3
0.8975
all / log10
0.1677
all / mae
6.1885
all / rmse
9.5691
all / rmse log
0.5142
all / silog
0.4271
all / sqrel
7.1047
pixel pool / delta1
0.2574
pixel pool / delta2
0.7626
pixel pool / delta3
0.8957
far / absrel
0.4729
far / delta1
0.0780
far / delta2
0.2363
far / delta3
0.5197
far / log10
0.3038
far / mae
22.7435
far / rmse
25.1291
far / rmse log
0.7963
far / silog
0.4037
far / sqrel
12.3825
pixel pool / log10
0.1684
pixel pool / mae
6.3135
mid / absrel
0.3033
mid / delta1
0.2281
mid / delta2
0.7624
mid / delta3
0.9252
mid / log10
0.1577
mid / mae
5.7086
mid / rmse
7.4077
mid / rmse log
0.4253
mid / silog
0.2755
mid / sqrel
2.5359
near / absrel
0.8622
near / delta1
0.3827
near / delta2
0.9163
near / delta3
0.9333
near / log10
0.1547
near / mae
2.7772
near / rmse
5.7293
near / rmse log
0.6082
near / silog
0.6027
near / sqrel
17.0359
pixel pool / rmse
9.9970
pixel pool / rmse log
0.5170
pixel pool / silog
0.4291
pixel pool / sqrel
7.1805