diff --git a/docs/source/docs/objectDetection/about-object-detection.md b/docs/source/docs/objectDetection/about-object-detection.md
index c6bbe36f9..40ee828ae 100644
--- a/docs/source/docs/objectDetection/about-object-detection.md
+++ b/docs/source/docs/objectDetection/about-object-detection.md
@@ -44,11 +44,11 @@ Before beginning, it is necessary to install the [rknn-toolkit2](https://github.
 ## Uploading Custom Models
 
 :::{warning}
-PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLO11 models trained and converted to `.rknn` format for RK3588 CPUs! Other models require different post-processing code and will NOT work. The model conversion process is also highly particular. Proceed with care.
+PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLOv11 models trained and converted to `.rknn` format for RK3588 CPUs! Other models require different post-processing code and will NOT work. The model conversion process is also highly particular. Proceed with care.
 :::
 
 In the settings, under `Device Control`, there's an option to upload a new object detection model. Naming convention
-should be `name-verticalResolution-horizontalResolution-modelType`. The
+should be `name-verticalResolution-horizontalResolution-yolovXXX`. The
 `name` should only include alphanumeric characters, periods, and underscores. Additionally, the labels
 file ought to have the same name as the RKNN file, with `-labels` appended to the end. For
 example, if the RKNN file is named `Algae_1.03.2025-640-640-yolov5s.rknn`, the labels file should be
diff --git a/photon-client/src/components/settings/ObjectDetectionCard.vue b/photon-client/src/components/settings/ObjectDetectionCard.vue
index 2e3bcd9de..085ce378a 100644
--- a/photon-client/src/components/settings/ObjectDetectionCard.vue
+++ b/photon-client/src/components/settings/ObjectDetectionCard.vue
@@ -88,12 +88,12 @@ const supportedModels = computed(() => {
               <v-card-title>Import New Object Detection Model</v-card-title>
               <v-card-text>
                 Upload a new object detection model to this device that can be used in a pipeline. Naming convention
-                should be <code>name-verticalResolution-horizontalResolution-modelType</code>. The
+                should be <code>name-verticalResolution-horizontalResolution-yolovXXX</code>. The
                 <code>name</code> should only include alphanumeric characters, periods, and underscores. Additionally,
                 the labels file ought to have the same name as the RKNN file, with <code>-labels</code> appended to the
                 end. For example, if the RKNN file is named <code>note-640-640-yolov5s.rknn</code>, the labels file
-                should be named <code>note-640-640-yolov5s-labels.txt</code>. Note that ONLY 640x640 YOLOv5 & YOLOv8
-                models trained and converted to `.rknn` format for RK3588 CPUs are currently supported!
+                should be named <code>note-640-640-yolov5s-labels.txt</code>. Note that ONLY 640x640 YOLOv5, YOLOv8, and
+                YOLOv11 models trained and converted to `.rknn` format for RK3588 CPUs are currently supported!
                 <v-row class="mt-6 ml-4 mr-8">
                   <v-file-input v-model="importRKNNFile" label="RKNN File" accept=".rknn" />
                 </v-row>