diff --git a/image_prediction/transformer/transformers/response.py b/image_prediction/transformer/transformers/response.py
index 7c2b326..378fe7b 100644
--- a/image_prediction/transformer/transformers/response.py
+++ b/image_prediction/transformer/transformers/response.py
@@ -20,45 +20,6 @@ class ResponseTransformer(Transformer):
         return build_image_info(data)
 
 
-def get_class_specific_min_image_to_page_quotient(label, table=None):
-    return get_class_specific_value(
-        "REL_IMAGE_SIZE", label, "min", CONFIG.filters.image_to_page_quotient.min, table=table
-    )
-
-
-def get_class_specific_max_image_to_page_quotient(label, table=None):
-    return get_class_specific_value(
-        "REL_IMAGE_SIZE", label, "max", CONFIG.filters.image_to_page_quotient.max, table=table
-    )
-
-
-def get_class_specific_min_image_width_to_height_quotient(label, table=None):
-    return get_class_specific_value(
-        "IMAGE_FORMAT", label, "min", CONFIG.filters.image_width_to_height_quotient.min, table=table
-    )
-
-
-def get_class_specific_max_image_width_to_height_quotient(label, table=None):
-    return get_class_specific_value(
-        "IMAGE_FORMAT", label, "max", CONFIG.filters.image_width_to_height_quotient.max, table=table
-    )
-
-
-def get_class_specific_min_classification_confidence(label, table=None):
-    return get_class_specific_value("CONFIDENCE", label, "min", CONFIG.filters.min_confidence, table=table)
-
-
-def get_class_specific_value(prefix, label, bound, fallback_value, table=None):
-    def fallback():
-        logger.warning(f"Failed to resolve {bound} {prefix.lower().replace('_', '-')} value for class '{label}'.")
-        return fallback_value
-
-    assert bound in ["min", "max"]
-
-    threshold_map = parse_env_var(prefix, table=table) or {}
-    return threshold_map.get(label, {}).get(bound) or fallback()
-
-
 def build_image_info(data: dict) -> dict:
     def compute_geometric_quotient():
         page_area_sqrt = math.sqrt(abs(page_width * page_height))
@@ -128,6 +89,50 @@ def build_image_info(data: dict) -> dict:
     return image_info
 
 
+def get_class_specific_min_image_to_page_quotient(label, table=None):
+    return get_class_specific_value(
+        "REL_IMAGE_SIZE", label, "min", CONFIG.filters.image_to_page_quotient.min, table=table
+    )
+
+
+def get_class_specific_max_image_to_page_quotient(label, table=None):
+    return get_class_specific_value(
+        "REL_IMAGE_SIZE", label, "max", CONFIG.filters.image_to_page_quotient.max, table=table
+    )
+
+
+def get_class_specific_min_image_width_to_height_quotient(label, table=None):
+    return get_class_specific_value(
+        "IMAGE_FORMAT", label, "min", CONFIG.filters.image_width_to_height_quotient.min, table=table
+    )
+
+
+def get_class_specific_max_image_width_to_height_quotient(label, table=None):
+    return get_class_specific_value(
+        "IMAGE_FORMAT", label, "max", CONFIG.filters.image_width_to_height_quotient.max, table=table
+    )
+
+
+def get_class_specific_min_classification_confidence(label, table=None):
+    return get_class_specific_value("CONFIDENCE", label, "min", CONFIG.filters.min_confidence, table=table)
+
+
+def get_class_specific_value(prefix, label, bound, fallback_value, table=None):
+    def fallback():
+        return fallback_value
+
+    def success():
+        threshold_map = parse_env_var(prefix, table=table) or {}
+        value = threshold_map.get(label, {}).get(bound)
+        if value:
+            logger.debug(f"Using class '{label}' specific {bound} {prefix.lower().replace('_', '-')} value.")
+        return value
+
+    assert bound in ["min", "max"]
+
+    return success() or fallback()
+
+
 @lru_cache(maxsize=None)
 def parse_env_var(prefix, table=None):
     table = table or os.environ
diff --git a/test/unit_tests/response_transformer_test.py b/test/unit_tests/response_transformer_test.py
index ac8d822..c93e1af 100644
--- a/test/unit_tests/response_transformer_test.py
+++ b/test/unit_tests/response_transformer_test.py
@@ -21,8 +21,8 @@ def label():
 def page_quotient_threshold_map(label):
     return frozendict(
         {
-            "REL_IMAGE_SIZE_MAP": json.dumps({label: {"min": 0.1, "max": 0.2}}),
-            "IMAGE_FORMAT_MAP": json.dumps({label: {"min": 0.5, "max": 0.4}}),
+            "REL_IMAGE_SIZE": json.dumps({label: {"min": 0.1, "max": 0.2}}),
+            "IMAGE_FORMAT": json.dumps({label: {"min": 0.5, "max": 0.4}}),
             "CONFIDENCE": json.dumps({label: {"min": 0.8}}),
         }
     )