"updating"

Author: rohan-paul

mean_iou.py

@@ -110,6 +110,19 @@ def meanIoU(target, predicted):
 
 
 def mean_iou(y_pred, y_true):
+ """
+ Calculates the mean Intersection over Union (IoU) between predicted labels and true labels.
+
+ The mean IoU is a common evaluation metric for semantic segmentation tasks.
+ It measures the average overlap between the predicted and true labels.
+
+ Args:
+ y_pred (array-like): Predicted labels.
+ y_true (array-like): True labels or ground truth values.
+
+ Returns:
+ float: Mean IoU value.
+ """
  y_pred = y_pred.flatten()
  y_true = y_true.flatten()