predictia
/

convswin2sr_mediterranean

super-resolution

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

pereza commited on Oct 30, 2023

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@@ -208,9 +208,7 @@ of squared differences between predictions and actual values.
 These metrics not only underscore the model's capability to predict with greater precision but also emphasize its reduced propensity for errors.
 In comparison to the bicubic interpolation baseline, our model's superior predictive accuracy is evident, positioning it as a more reliable tool for this task.
-![mae-metric-map](metric_global_map_diff_var-mae.png)
-![rmse-metric-map](metric_global_map_diff_var-rmse.png)

 These metrics not only underscore the model's capability to predict with greater precision but also emphasize its reduced propensity for errors.
 In comparison to the bicubic interpolation baseline, our model's superior predictive accuracy is evident, positioning it as a more reliable tool for this task.
+![metric-map](metric-diff-map.png)