diff --git a/web/apps/photos/src/services/machineLearning/machineLearningFactory.ts b/web/apps/photos/src/services/machineLearning/machineLearningFactory.ts
index 7017bd1a6..96be5a0f5 100644
--- a/web/apps/photos/src/services/machineLearning/machineLearningFactory.ts
+++ b/web/apps/photos/src/services/machineLearning/machineLearningFactory.ts
@@ -22,8 +22,6 @@ import {
     MLLibraryData,
     MLSyncConfig,
     MLSyncContext,
-    ObjectDetectionMethod,
-    ObjectDetectionService,
     SceneDetectionMethod,
     SceneDetectionService,
 } from "types/machineLearning";
@@ -35,7 +33,6 @@ import hdbscanClusteringService from "./hdbscanClusteringService";
 import imageSceneService from "./imageSceneService";
 import laplacianBlurDetectionService from "./laplacianBlurDetectionService";
 import mobileFaceNetEmbeddingService from "./mobileFaceNetEmbeddingService";
-import ssdMobileNetV2Service from "./ssdMobileNetV2Service";
 import yoloFaceDetectionService from "./yoloFaceDetectionService";
 
 export class MLFactory {
@@ -49,16 +46,6 @@ export class MLFactory {
         throw Error("Unknon face detection method: " + method);
     }
 
-    public static getObjectDetectionService(
-        method: ObjectDetectionMethod,
-    ): ObjectDetectionService {
-        if (method === "SSDMobileNetV2") {
-            return ssdMobileNetV2Service;
-        }
-
-        throw Error("Unknown object detection method: " + method);
-    }
-
     public static getSceneDetectionService(
         method: SceneDetectionMethod,
     ): SceneDetectionService {
@@ -147,7 +134,6 @@ export class LocalMLSyncContext implements MLSyncContext {
     public blurDetectionService: BlurDetectionService;
     public faceEmbeddingService: FaceEmbeddingService;
     public faceClusteringService: ClusteringService;
-    public objectDetectionService: ObjectDetectionService;
     public sceneDetectionService: SceneDetectionService;
 
     public localFilesMap: Map<number, EnteFile>;
@@ -202,9 +188,6 @@ export class LocalMLSyncContext implements MLSyncContext {
             this.config.faceClustering.method,
         );
 
-        this.objectDetectionService = MLFactory.getObjectDetectionService(
-            this.config.objectDetection.method,
-        );
         this.sceneDetectionService = MLFactory.getSceneDetectionService(
             this.config.sceneDetection.method,
         );
diff --git a/web/apps/photos/src/services/machineLearning/ssdMobileNetV2Service.ts b/web/apps/photos/src/services/machineLearning/ssdMobileNetV2Service.ts
deleted file mode 100644
index 186656532..000000000
--- a/web/apps/photos/src/services/machineLearning/ssdMobileNetV2Service.ts
+++ /dev/null
@@ -1,66 +0,0 @@
-import log from "@/next/log";
-import * as tf from "@tensorflow/tfjs-core";
-import {
-    ObjectDetection,
-    ObjectDetectionMethod,
-    ObjectDetectionService,
-    Versioned,
-} from "types/machineLearning";
-
-import * as SSDMobileNet from "@tensorflow-models/coco-ssd";
-import { OBJECT_DETECTION_IMAGE_SIZE } from "constants/mlConfig";
-import { resizeToSquare } from "utils/image";
-
-class SSDMobileNetV2 implements ObjectDetectionService {
-    private ssdMobileNetV2Model: SSDMobileNet.ObjectDetection;
-    public method: Versioned<ObjectDetectionMethod>;
-    private ready: Promise<void>;
-
-    public constructor() {
-        this.method = {
-            value: "SSDMobileNetV2",
-            version: 1,
-        };
-    }
-
-    private async init() {
-        this.ssdMobileNetV2Model = await SSDMobileNet.load({
-            base: "mobilenet_v2",
-            modelUrl: "/models/ssdmobilenet/model.json",
-        });
-        log.info("loaded ssdMobileNetV2Model", tf.getBackend());
-    }
-
-    private async getSSDMobileNetV2Model() {
-        if (!this.ready) {
-            this.ready = this.init();
-        }
-        await this.ready;
-        return this.ssdMobileNetV2Model;
-    }
-
-    public async detectObjects(
-        image: ImageBitmap,
-        maxNumberBoxes: number,
-        minScore: number,
-    ): Promise<ObjectDetection[]> {
-        const ssdMobileNetV2Model = await this.getSSDMobileNetV2Model();
-        const resized = resizeToSquare(image, OBJECT_DETECTION_IMAGE_SIZE);
-        const tfImage = tf.browser.fromPixels(resized.image);
-        const detections = await ssdMobileNetV2Model.detect(
-            tfImage,
-            maxNumberBoxes,
-            minScore,
-        );
-        tfImage.dispose();
-        return detections;
-    }
-
-    public async dispose() {
-        const ssdMobileNetV2Model = await this.getSSDMobileNetV2Model();
-        ssdMobileNetV2Model?.dispose();
-        this.ssdMobileNetV2Model = null;
-    }
-}
-
-export default new SSDMobileNetV2();
diff --git a/web/apps/photos/src/types/machineLearning/index.ts b/web/apps/photos/src/types/machineLearning/index.ts
index f1895cd41..c28627492 100644
--- a/web/apps/photos/src/types/machineLearning/index.ts
+++ b/web/apps/photos/src/types/machineLearning/index.ts
@@ -265,7 +265,6 @@ export interface MLSyncContext {
     faceEmbeddingService: FaceEmbeddingService;
     blurDetectionService: BlurDetectionService;
     faceClusteringService: ClusteringService;
-    objectDetectionService: ObjectDetectionService;
     sceneDetectionService: SceneDetectionService;
 
     localFilesMap: Map<number, EnteFile>;
@@ -273,7 +272,6 @@ export interface MLSyncContext {
     nSyncedFiles: number;
     nSyncedFaces: number;
     allSyncedFacesMap?: Map<number, Array<Face>>;
-    allSyncedObjectsMap?: Map<number, Array<RealWorldObject>>;
     tsne?: any;
 
     error?: Error;