The face recognition marker remains when changing images.

[BenneMe]

I have searched the existing issues, both open and closed, to make sure this is not a duplicate report.

• Yes

The bug

In Immich web app, when you view a picture with a recognized person and hover the person in the details pane, you'll see the outline around the persons face overlayed on the picture.
If you now use the arrow keys to change the image, the selection will remain on the following images until you return to the original image.

The OS that Immich Server is running on

Ubuntu 24.04.1 LTS

Version of Immich Server

v2.5.6

Version of Immich Mobile App

2.5.6

Platform with the issue

• Server
• Web
• Mobile

Device make and model

No response

Your docker-compose.yml content

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - stack.env
    ports:
      - 2283:3001
    depends_on:
      - redis
      - database
    devices:
      - /dev/dri:/dev/dri
    restart: always
    networks:
      lan:
        ipv4_address: 192.168.178.212
      default:
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
    #   file: hwaccel.ml.yml
    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - model-cache:/cache
    env_file:
      - stack.env
    restart: always
    networks:
      default:
    healthcheck:
      disable: false

  redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:2d1463258f2764328496376f5d965f20c6a67f66ea2b06dc42af351f75248792
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always
    networks:
      default:

  database:
    container_name: immich_postgres
    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    volumes:
      # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    healthcheck:
      test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
      interval: 5m
      start_interval: 30s
      start_period: 5m
    command: ["postgres", "-c", "shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
    restart: always
    networks:
      default:

volumes:
  model-cache:

networks:
  lan:
    external: true

Your .env content

UPLOAD_LOCATION=<redacted>
DB_DATA_LOCATION=./postgres
IMMICH_VERSION=release
DB_PASSWORD=<redacted>
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

Reproduction steps

1. Open a picture with a tagged person
2. Open the details pane
3. With your mouse, hover over the person. The marker will show up around the persons face.
4. While the marker is still shown, use the arrow keys to switch to the previous or next picture.
5. The marker will still be shown as overlay.
6. Return to the original picture, where you have hovered about the person in the detail pane
7. Move the mouse pointer over a person's face again, then move the mouse pointer away. The marker is removed again.

Relevant log output

Additional information

No response