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@@ -187,8 +187,7 @@ Statistics of the TRAIN+VALIDATION set :
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  | Red Channel (R) | 105.08 |52.17 |
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  | Green Channel (G) | 110.87 |45.38 |
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  | Blue Channel (B) | 101.82 |44.00 |
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- | Infrared Channel (I) | 106.38 |39.69 |
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- | Elevation Channel (E) | 53.26 |79.30 |
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  #### Training Hyperparameters
@@ -217,7 +216,7 @@ Statistics of the TRAIN+VALIDATION set :
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  The FLAIR-INC_rgb_15cl_mitb5-unet model was trained on a HPC/AI resources provided by GENCI-IDRIS (Grant 2022-A0131013803).
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  16 V100 GPUs were used ( 4 nodes, 4 GPUS per node). With this configuration the approximate learning time is 6 minutes per epoch.
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- FLAIR-INC_rgbie_15cl_resnet34-unet was obtained for num_epoch=76 with corresponding val_loss=0.56.
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  <div style="position: relative; text-align: center;">
 
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  | Red Channel (R) | 105.08 |52.17 |
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  | Green Channel (G) | 110.87 |45.38 |
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  | Blue Channel (B) | 101.82 |44.00 |
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  #### Training Hyperparameters
 
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  The FLAIR-INC_rgb_15cl_mitb5-unet model was trained on a HPC/AI resources provided by GENCI-IDRIS (Grant 2022-A0131013803).
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  16 V100 GPUs were used ( 4 nodes, 4 GPUS per node). With this configuration the approximate learning time is 6 minutes per epoch.
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+ FLAIR-INC_rgbie_15cl_resnet34-unet was obtained for num_epoch=101 with corresponding val_loss=0.59.
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  <div style="position: relative; text-align: center;">