diff --git a/aimodel/src/lib/dataset/dataset_segmenter.py b/aimodel/src/lib/dataset/dataset_segmenter.py
index 9b8be7c..0caafab 100644
--- a/aimodel/src/lib/dataset/dataset_segmenter.py
+++ b/aimodel/src/lib/dataset/dataset_segmenter.py
@@ -30,11 +30,16 @@ def parse_item(metadata, shape_water_desired, water_threshold=0.1, water_bins=2)
 		
 		# SHAPES:
 		# rainfall = [ feature_dim ]
-		# water = [ width, height, 1 ]
+		# water = [ height, width, 1 ] # yes, this is correct
 		
 		water = tf.cast(tf.math.greater_equal(water, water_threshold), dtype=tf.int32)
 		
-		water = tf.image.crop_to_bounding_box(water, water_offset_x, water_offset_y, water_width_target, water_height_target)
+		water = tf.image.crop_to_bounding_box(water,
+			offset_height=water_offset_y,
+			offset_width =water_offset_x,
+			target_height=water_height_target,
+			target_width =water_width_target,
+		)
 		water = tf.one_hot(water, water_bins, axis=-1, dtype=tf.int32)
 		water = tf.reshape(water, tf.constant([water_width_target, water_height_target, water_bins], dtype=tf.int32))
 		print("DEBUG:dataset ITEM rainfall:shape", rainfall.shape, "water:shape", water.shape)