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README.md
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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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| Elevation Channel (E) | 53.26 |79.30 |
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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=
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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;">
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