Category name | Accuracy | Sample training images | Sample true positives | False positives with true label | False negatives with wrong predicted label | ||||
---|---|---|---|---|---|---|---|---|---|
Kitchen | 0.070 | ![]() |
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![]() |
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![]() Industrial |
![]() LivingRoom |
![]() Industrial |
![]() LivingRoom |
Store | 0.000 | ![]() |
![]() |
![]() Coast |
![]() LivingRoom |
![]() Forest |
![]() Forest |
||
Bedroom | 0.170 | ![]() |
![]() |
![]() |
![]() |
![]() InsideCity |
![]() Suburb |
![]() Highway |
![]() Coast |
LivingRoom | 0.120 | ![]() |
![]() |
![]() |
![]() |
![]() Street |
![]() Office |
![]() Kitchen |
![]() Mountain |
Office | 0.160 | ![]() |
![]() |
![]() |
![]() |
![]() Forest |
![]() Store |
![]() Forest |
![]() InsideCity |
Industrial | 0.090 | ![]() |
![]() |
![]() |
![]() |
![]() TallBuilding |
![]() Kitchen |
![]() OpenCountry |
![]() Mountain |
Suburb | 0.410 | ![]() |
![]() |
![]() |
![]() |
![]() InsideCity |
![]() Store |
![]() Forest |
![]() OpenCountry |
InsideCity | 0.030 | ![]() |
![]() |
![]() |
![]() |
![]() Office |
![]() Store |
![]() OpenCountry |
![]() Kitchen |
TallBuilding | 0.210 | ![]() |
![]() |
![]() |
![]() |
![]() InsideCity |
![]() Street |
![]() Kitchen |
![]() Coast |
Street | 0.430 | ![]() |
![]() |
![]() |
![]() |
![]() Industrial |
![]() Store |
![]() Bedroom |
![]() Store |
Highway | 0.560 | ![]() |
![]() |
![]() |
![]() |
![]() LivingRoom |
![]() Industrial |
![]() OpenCountry |
![]() Suburb |
OpenCountry | 0.350 | ![]() |
![]() |
![]() |
![]() |
![]() Street |
![]() Suburb |
![]() Coast |
![]() Coast |
Coast | 0.370 | ![]() |
![]() |
![]() |
![]() |
![]() Bedroom |
![]() Mountain |
![]() Store |
![]() OpenCountry |
Mountain | 0.170 | ![]() |
![]() |
![]() |
![]() |
![]() InsideCity |
![]() Forest |
![]() Highway |
![]() Forest |
Forest | 0.160 | ![]() |
![]() |
![]() |
![]() |
![]() Industrial |
![]() Mountain |
![]() Kitchen |
![]() InsideCity |
Category name | Accuracy | Sample training images | Sample true positives | False positives with true label | False negatives with wrong predicted label |