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log_scannet_classfication.txt
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23 lines (22 loc) · 6.67 KB
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OpenIns3D on ScanNetv2 Classfication
Class Index Class Name Top-1 Accuracy │·······························································
------------------------------------------ │·······························································
3 cabinet 0.344 │·······························································
4 bed 0.926 │·······························································
5 chair 0.918 │·······························································
6 sofa 0.825 │·······························································
7 table 0.457 │·······························································
8 door 0.448 │·······························································
9 window 0.621 │·······························································
10 bookshelf 0.545 │·······························································
11 picture 0.050 │·······························································
12 counter 0.615 │·······························································
14 desk 0.685 │·······························································
16 curtain 0.731 │·······························································
24 refrigerator 0.561 │·······························································
28 shower curtain 0.036 │·······························································
33 toilet 0.862 │·······························································
34 sink 0.714 │·······························································
36 bathtub 0.161 │·······························································
------------------------------------------ │·······························································
Overall Accuracy: 0.642