chore: incorrect comment in sdcat.ini introduced during refactoring

mbari-org · Jan 22, 2025 · 0b40541 · 0b40541
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commit 0b40541
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Showing 6 changed files with 6 additions and 6 deletions.
diff --git a/aipipeline/projects/bio/config/sdcat.ini b/aipipeline/projects/bio/config/sdcat.ini
@@ -56,7 +56,7 @@ min_saliency = 30
 clahe = False
 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection
 ;allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal
-# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections
+# By setting class_agnostic to True, the detection model will not use the class information to filter out detections
 class_agnostic = False
 # Leave blank for all classes
 allowable_classes =
diff --git a/aipipeline/projects/cfe/config/sdcat.ini b/aipipeline/projects/cfe/config/sdcat.ini
@@ -55,7 +55,7 @@ min_saliency = 30
 clahe = False
 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection
 ;allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal
-# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections
+# By setting class_agnostic to True, the detection model will not use the class information to filter out detections
 class_agnostic = False
 # Leave blank for all classes
 allowable_classes =
diff --git a/aipipeline/projects/i2map/config/sdcat.ini b/aipipeline/projects/i2map/config/sdcat.ini
@@ -61,7 +61,7 @@ block_size = 39
 min_std = 5.0
 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection
 allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal
-# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections
+# By setting class_agnostic to True, the detection model will not use the class information to filter out detections
 class_agnostic = True
 # Leave blank for all classes
 # allowable_classes =
diff --git a/aipipeline/projects/i2mapbulk/config/sdcat.ini b/aipipeline/projects/i2mapbulk/config/sdcat.ini
@@ -61,7 +61,7 @@ block_size = 39
 min_std = 5.0
 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection
 allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal
-# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections
+# By setting class_agnostic to True, the detection model will not use the class information to filter out detections
 class_agnostic = True
 # Leave blank for all classes
 # allowable_classes =
diff --git a/aipipeline/projects/m3/config/sdcat.ini b/aipipeline/projects/m3/config/sdcat.ini
@@ -53,7 +53,7 @@ min_saliency = 30
 clahe = False
 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection
 ;allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal
-# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections
+# By setting class_agnostic to True, the detection model will not use the class information to filter out detections
 class_agnostic = False
 # Leave blank for all classes
 allowable_classes =
diff --git a/aipipeline/projects/uav/config/sdcat.ini b/aipipeline/projects/uav/config/sdcat.ini
@@ -60,7 +60,7 @@ block_size = 39
 # The minimum standard deviation of the detection found by the saliency detection to be considered
 # Set to 0 to keep all detections. 8.0 is a good value for general detection, 5.0 is more conservative
 min_std = 4.0
-# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections
+# By setting class_agnostic to True, the detection model will not use the class information to filter out detections
 class_agnostic = False
 # Leave blank for all classes
 allowable_classes = Pinniped,Batray,Bird,Egregia,Buoy,Shark,Person,Mooring,Otter,Boat,Kelp,Mola,Jelly,Whale,RIB