Update to support correct data format

web/src/components/classification/ClassificationModelEditDialog.tsx

@@ -28,6 +28,7 @@ import {
   CustomClassificationModelConfig,
   FrigateConfig,
 } from "@/types/frigateConfig";
+import { ClassificationDatasetResponse } from "@/types/classification";
 import { getTranslatedLabel } from "@/utils/i18n";
 import { zodResolver } from "@hookform/resolvers/zod";
 import axios from "axios";
@@ -140,16 +141,19 @@ export default function ClassificationModelEditDialog({
   });
 
   // Fetch dataset to get current classes for state models
-  const { data: dataset } = useSWR<{
-    [id: string]: string[];
-  }>(isStateModel ? `classification/${model.name}/dataset` : null, {
-    revalidateOnFocus: false,
-  });
+  const { data: dataset } = useSWR<ClassificationDatasetResponse>(
+    isStateModel ? `classification/${model.name}/dataset` : null,
+    {
+      revalidateOnFocus: false,
+    },
+  );
 
   // Update form with classes from dataset when loaded
   useEffect(() => {
-    if (isStateModel && dataset) {
-      const classes = Object.keys(dataset).filter((key) => key !== "none");
+    if (isStateModel && dataset?.categories) {
+      const classes = Object.keys(dataset.categories).filter(
+        (key) => key !== "none",
+      );
       if (classes.length > 0) {
         (form as ReturnType<typeof useForm<StateFormData>>).setValue(
           "classes",

web/src/types/classification.ts

@@ -20,3 +20,17 @@ export type ClassificationThreshold = {
   recognition: number;
   unknown: number;
 };
+
+export type ClassificationDatasetResponse = {
+  categories: {
+    [id: string]: string[];
+  };
+  training_metadata: {
+    has_trained: boolean;
+    last_training_date: string | null;
+    last_training_image_count: number;
+    current_image_count: number;
+    new_images_count: number;
+    dataset_changed: boolean;
+  } | null;
+};

web/src/views/classification/ModelSelectionView.tsx

@@ -11,6 +11,7 @@ import {
   CustomClassificationModelConfig,
   FrigateConfig,
 } from "@/types/frigateConfig";
+import { ClassificationDatasetResponse } from "@/types/classification";
 import { useCallback, useEffect, useMemo, useState } from "react";
 import { useTranslation } from "react-i18next";
 import { FaFolderPlus } from "react-icons/fa";
@@ -209,9 +210,10 @@ type ModelCardProps = {
 function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
   const { t } = useTranslation(["views/classificationModel"]);
 
-  const { data: dataset } = useSWR<{
-    [id: string]: string[];
-  }>(`classification/${config.name}/dataset`, { revalidateOnFocus: false });
+  const { data: dataset } = useSWR<ClassificationDatasetResponse>(
+    `classification/${config.name}/dataset`,
+    { revalidateOnFocus: false },
+  );
 
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
   const [editDialogOpen, setEditDialogOpen] = useState(false);
@@ -260,20 +262,25 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
   }, []);
 
   const coverImage = useMemo(() => {
-    if (!dataset) {
+    if (!dataset || !dataset.categories) {
       return undefined;
     }
 
-    const keys = Object.keys(dataset).filter((key) => key != "none");
-    const selectedKey = keys[0];
+    const keys = Object.keys(dataset.categories).filter((key) => key != "none");
+    if (keys.length === 0) {
+      return undefined;
+    }
 
-    if (!dataset[selectedKey]) {
+    const selectedKey = keys[0];
+    const images = dataset.categories[selectedKey];
+
+    if (!images || images.length === 0) {
       return undefined;
     }
 
     return {
       name: selectedKey,
-      img: dataset[selectedKey][0],
+      img: images[0],
     };
   }, [dataset]);
 
@@ -317,11 +324,19 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
         )}
         onClick={onClick}
       >
-        <img
-          className="size-full"
-          src={`${baseUrl}clips/${config.name}/dataset/${coverImage?.name}/${coverImage?.img}`}
-        />
-        <ImageShadowOverlay lowerClassName="h-[30%] z-0" />
+        {coverImage ? (
+          <>
+            <img
+              className="size-full"
+              src={`${baseUrl}clips/${config.name}/dataset/${coverImage.name}/${coverImage.img}`}
+            />
+            <ImageShadowOverlay lowerClassName="h-[30%] z-0" />
+          </>
+        ) : (
+          <div className="flex size-full items-center justify-center bg-background_alt">
+            <MdModelTraining className="size-16 text-muted-foreground" />
+          </div>
+        )}
         <div className="absolute bottom-2 left-3 text-lg text-white smart-capitalize">
           {config.name}
         </div>

web/src/views/classification/ModelTrainingView.tsx

@@ -59,7 +59,11 @@ import { useNavigate } from "react-router-dom";
 import { IoMdArrowRoundBack } from "react-icons/io";
 import TrainFilterDialog from "@/components/overlay/dialog/TrainFilterDialog";
 import useApiFilter from "@/hooks/use-api-filter";
-import { ClassificationItemData, TrainFilter } from "@/types/classification";
+import {
+  ClassificationDatasetResponse,
+  ClassificationItemData,
+  TrainFilter,
+} from "@/types/classification";
 import {
   ClassificationCard,
   GroupedClassificationCard,
@@ -118,17 +122,10 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
   const { data: trainImages, mutate: refreshTrain } = useSWR<string[]>(
     `classification/${model.name}/train`,
   );
-  const { data: datasetResponse, mutate: refreshDataset } = useSWR<{
-    categories: { [id: string]: string[] };
-    training_metadata: {
-      has_trained: boolean;
-      last_training_date: string | null;
-      last_training_image_count: number;
-      current_image_count: number;
-      new_images_count: number;
-      dataset_changed: boolean;
-    } | null;
-  }>(`classification/${model.name}/dataset`);
+  const { data: datasetResponse, mutate: refreshDataset } =
+    useSWR<ClassificationDatasetResponse>(
+      `classification/${model.name}/dataset`,
+    );
 
   const dataset = datasetResponse?.categories || {};
   const trainingMetadata = datasetResponse?.training_metadata;