diff --git a/frigate/config/classification.py b/frigate/config/classification.py
index ba64f9007..284136076 100644
--- a/frigate/config/classification.py
+++ b/frigate/config/classification.py
@@ -52,8 +52,8 @@ class CustomClassificationObjectConfig(FrigateBaseModel):
 
 class CustomClassificationConfig(FrigateBaseModel):
     enabled: bool = Field(default=True, title="Enable running the model.")
-    model_path: str = Field(title="Path to teachable machine tflite model.")
-    labelmap_path: str = Field(title="Path to teachable machine labelmap.")
+    model_path: str = Field(title="Path to custom classification tflite model.")
+    labelmap_path: str = Field(title="Path to custom classification model labelmap.")
     object_config: CustomClassificationObjectConfig | None = Field(default=None)
     state_config: CustomClassificationStateConfig | None = Field(default=None)
 
@@ -63,7 +63,7 @@ class ClassificationConfig(FrigateBaseModel):
         default_factory=BirdClassificationConfig, title="Bird classification config."
     )
     custom: Dict[str, CustomClassificationConfig] = Field(
-        default={}, title="Teachable Machine Model Configs."
+        default={}, title="Custom Classification Model Configs."
     )
 
 
diff --git a/frigate/data_processing/real_time/custom_classification.py b/frigate/data_processing/real_time/custom_classification.py
index 189b8f8d3..1848968bb 100644
--- a/frigate/data_processing/real_time/custom_classification.py
+++ b/frigate/data_processing/real_time/custom_classification.py
@@ -1,4 +1,4 @@
-"""Real time processor that works with teachable machine tflite models."""
+"""Real time processor that works with classification tflite models."""
 
 import logging
 from typing import Any
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index 975ba8ba5..9838f4a21 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -147,7 +147,7 @@ class EmbeddingMaintainer(threading.Thread):
                 )
             )
 
-        for model in self.config.classification.teachable_machine.values():
+        for model in self.config.classification.custom.values():
             self.realtime_processors.append(
                 CustomStateClassificationProcessor(self.config, model, self.metrics)
                 if model.state_config != None
@@ -482,7 +482,7 @@ class EmbeddingMaintainer(threading.Thread):
         if (
             camera_config.type != CameraTypeEnum.lpr
             or "license_plate" in camera_config.objects.track
-        ) and len(self.config.classification.teachable_machine) == 0:
+        ) and len(self.config.classification.custom) == 0:
             # no active features that use this data
             return