diff --git a/frigate/config/classification.py b/frigate/config/classification.py
index 94548ee01..ba64f9007 100644
--- a/frigate/config/classification.py
+++ b/frigate/config/classification.py
@@ -34,35 +34,35 @@ class BirdClassificationConfig(FrigateBaseModel):
     )
 
 
-class TeachableMachineStateCameraConfig(FrigateBaseModel):
+class CustomClassificationStateCameraConfig(FrigateBaseModel):
     crop: list[int, int, int, int] = Field(
         title="Crop of image frame on this camera to run classification on."
     )
 
 
-class TeachableMachineStateConfig(FrigateBaseModel):
-    cameras: Dict[str, TeachableMachineStateCameraConfig] = Field(
+class CustomClassificationStateConfig(FrigateBaseModel):
+    cameras: Dict[str, CustomClassificationStateCameraConfig] = Field(
         title="Cameras to run classification on."
     )
 
 
-class TeachableMachineObjectConfig(FrigateBaseModel):
+class CustomClassificationObjectConfig(FrigateBaseModel):
     objects: list[str] = Field(title="Object types to classify.")
 
 
-class TeachableMachineConfig(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.")
-    object_config: TeachableMachineObjectConfig | None = Field(default=None)
-    state_config: TeachableMachineStateConfig | None = Field(default=None)
+    object_config: CustomClassificationObjectConfig | None = Field(default=None)
+    state_config: CustomClassificationStateConfig | None = Field(default=None)
 
 
 class ClassificationConfig(FrigateBaseModel):
     bird: BirdClassificationConfig = Field(
         default_factory=BirdClassificationConfig, title="Bird classification config."
     )
-    teachable_machine: Dict[str, TeachableMachineConfig] = Field(
+    custom: Dict[str, CustomClassificationConfig] = Field(
         default={}, title="Teachable Machine Model Configs."
     )
 
diff --git a/frigate/data_processing/real_time/teachable_machine.py b/frigate/data_processing/real_time/custom_classification.py
similarity index 94%
rename from frigate/data_processing/real_time/teachable_machine.py
rename to frigate/data_processing/real_time/custom_classification.py
index f7e540c3e..189b8f8d3 100644
--- a/frigate/data_processing/real_time/teachable_machine.py
+++ b/frigate/data_processing/real_time/custom_classification.py
@@ -11,7 +11,7 @@ from frigate.comms.event_metadata_updater import (
     EventMetadataTypeEnum,
 )
 from frigate.config import FrigateConfig
-from frigate.config.classification import TeachableMachineConfig
+from frigate.config.classification import CustomClassificationConfig
 from frigate.util.builtin import load_labels
 from frigate.util.object import calculate_region
 
@@ -26,11 +26,11 @@ except ModuleNotFoundError:
 logger = logging.getLogger(__name__)
 
 
-class TeachableMachineStateProcessor(RealTimeProcessorApi):
+class CustomStateClassificationProcessor(RealTimeProcessorApi):
     def __init__(
         self,
         config: FrigateConfig,
-        model_config: TeachableMachineConfig,
+        model_config: CustomClassificationConfig,
         metrics: DataProcessorMetrics,
     ):
         super().__init__(config, metrics)
@@ -96,11 +96,11 @@ class TeachableMachineStateProcessor(RealTimeProcessorApi):
         pass
 
 
-class TeachableMachineObjectProcessor(RealTimeProcessorApi):
+class CustomObjectClassificationProcessor(RealTimeProcessorApi):
     def __init__(
         self,
         config: FrigateConfig,
-        model_config: TeachableMachineConfig,
+        model_config: CustomClassificationConfig,
         sub_label_publisher: EventMetadataPublisher,
         metrics: DataProcessorMetrics,
     ):
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index c8b1a079f..975ba8ba5 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -42,14 +42,14 @@ from frigate.data_processing.post.license_plate import (
 )
 from frigate.data_processing.real_time.api import RealTimeProcessorApi
 from frigate.data_processing.real_time.bird import BirdRealTimeProcessor
+from frigate.data_processing.real_time.custom_classification import (
+    CustomObjectClassificationProcessor,
+    CustomStateClassificationProcessor,
+)
 from frigate.data_processing.real_time.face import FaceRealTimeProcessor
 from frigate.data_processing.real_time.license_plate import (
     LicensePlateRealTimeProcessor,
 )
-from frigate.data_processing.real_time.teachable_machine import (
-    TeachableMachineObjectProcessor,
-    TeachableMachineStateProcessor,
-)
 from frigate.data_processing.types import DataProcessorMetrics, PostProcessDataEnum
 from frigate.events.types import EventTypeEnum, RegenerateDescriptionEnum
 from frigate.genai import get_genai_client
@@ -149,9 +149,9 @@ class EmbeddingMaintainer(threading.Thread):
 
         for model in self.config.classification.teachable_machine.values():
             self.realtime_processors.append(
-                TeachableMachineStateProcessor(self.config, model, self.metrics)
+                CustomStateClassificationProcessor(self.config, model, self.metrics)
                 if model.state_config != None
-                else TeachableMachineObjectProcessor(
+                else CustomObjectClassificationProcessor(
                     self.config,
                     model,
                     self.event_metadata_publisher,
@@ -503,7 +503,7 @@ class EmbeddingMaintainer(threading.Thread):
             if isinstance(processor, LicensePlateRealTimeProcessor):
                 processor.process_frame(camera, yuv_frame, True)
 
-            if isinstance(processor, TeachableMachineStateProcessor):
+            if isinstance(processor, CustomStateClassificationProcessor):
                 processor.process_frame({"camera": camera}, yuv_frame)
 
         self.frame_manager.close(frame_name)