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Update README.md
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README.md
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@@ -200,13 +200,22 @@ The diversity of landscapes and scenes of the test set should closely match the
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#### Metrics
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The **FRACTAL-LidarHD_7cl_randlanet** model achieves a performance of mIoU=77.2
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The following table gives the class-wise metrics on the test set:
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The following illustration gives the resulting confusion matrix :
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#### Metrics
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The **FRACTAL-LidarHD_7cl_randlanet** model achieves a performance of **mIoU=77.2%** and **OA=96.1%**.
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The following table gives the class-wise metrics on the test set:
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**Class**|**IoU**|**Accuracy**|**Precision**|**Recall**|**F1**
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-----|---|--------|---------|------|---
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**other**|52.0|54.9|77.8|54.9|64.4
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**ground**|91.7|97.7|93.8|97.7|95.8
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**vegetation**|93.6|95.6|98.0|95.6|96.8
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**building**|90.6|93.7|96.2|93.7|95.0
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**water**|91.2|92.6|97.1|92.6|94.8
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**bridge**|56.8|96.1|79.3|78.6|79.0
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**permanent structure**|62.1|76.6|78.9|76.6|77.7
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-----|---|--------|---------|------|---
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**Macro Average**|77.5|86.7|88.7|84.2|86.2
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The following illustration gives the resulting confusion matrix :
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