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No face recognition in new images #6643

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opened 2026-02-20 04:14:38 -05:00 by deekerman · 7 comments

deekerman commented

2026-02-20 04:14:38 -05:00

Owner

Originally created by @SysTechIL on GitHub (Sep 7, 2025).

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

The bug

When uploading new images, the AntelopeV2 face recognition model does not detect any faces at all.
I expected the faces in the images to be recognized automatically.
Switching to the Buffalo_L model detects most faces correctly.
Even after running the Re-extract process, many faces still do not appear in the interface.

The OS that Immich Server is running on

VM Ubuntu 22.10 on HyperV

Version of Immich Server

1.140.1

Version of Immich Mobile App

1.140.1 build 220

Platform with the issue

Server
Web
Mobile

Device make and model

No response

Your docker-compose.yml content

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    volumes:
      - immich_upload:/usr/src/app/upload
      - /mnt/immich-photos:/mnt/immich-photos
    env_file:
      - ./immich.env
    ports:
      - '2283:2283'
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    volumes:
      - model-cache:/cache
    env_file:
      - ./immich.env
    restart: always
    healthcheck:
      disable: false
  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:8-bookworm@sha256:00000000
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0@sha256:000000000
    env_file:
      - ./immich.env
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    volumes:
      - immich_postgres_data:/var/lib/postgresql/data
    shm_size: 128mb
    restart: always

volumes:
  immich_upload:
  immich_postgres_data:

Your .env content

DB_USERNAME=immich
DB_PASSWORD=Password
DB_HOST=immich_postgres
DB_PORT=5432
DB_DATABASE_NAME=immich
GEMINI_API_KEY=00000000000

Reproduction steps

Upload new images to Immich.
Select the AntelopeV2 face recognition model.
Run the Re-extract process.
Observe that no faces are detected in the interface.

Relevant log output

Additional information

No response

Originally created by @SysTechIL on GitHub (Sep 7, 2025). ### I have searched the existing issues, both open and closed, to make sure this is not a duplicate report. - [x] Yes ### The bug When uploading new images, the AntelopeV2 face recognition model does not detect any faces at all. I expected the faces in the images to be recognized automatically. Switching to the Buffalo_L model detects most faces correctly. Even after running the Re-extract process, many faces still do not appear in the interface. ### The OS that Immich Server is running on VM Ubuntu 22.10 on HyperV ### Version of Immich Server 1.140.1 ### Version of Immich Mobile App 1.140.1 build 220 ### Platform with the issue - [x] Server - [ ] Web - [ ] Mobile ### Device make and model _No response_ ### Your docker-compose.yml content ```YAML services: immich-server: container_name: immich_server image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} volumes: - immich_upload:/usr/src/app/upload - /mnt/immich-photos:/mnt/immich-photos env_file: - ./immich.env ports: - '2283:2283' depends_on: - redis - database restart: always healthcheck: disable: false immich-machine-learning: container_name: immich_machine_learning image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release} volumes: - model-cache:/cache env_file: - ./immich.env restart: always healthcheck: disable: false redis: container_name: immich_redis image: docker.io/valkey/valkey:8-bookworm@sha256:00000000 healthcheck: test: redis-cli ping || exit 1 restart: always database: container_name: immich_postgres image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0@sha256:000000000 env_file: - ./immich.env environment: POSTGRES_PASSWORD: ${DB_PASSWORD} POSTGRES_USER: ${DB_USERNAME} POSTGRES_DB: ${DB_DATABASE_NAME} POSTGRES_INITDB_ARGS: '--data-checksums' volumes: - immich_postgres_data:/var/lib/postgresql/data shm_size: 128mb restart: always volumes: immich_upload: immich_postgres_data: ``` ### Your .env content ```Shell DB_USERNAME=immich DB_PASSWORD=Password DB_HOST=immich_postgres DB_PORT=5432 DB_DATABASE_NAME=immich GEMINI_API_KEY=00000000000 ``` ### Reproduction steps 1. Upload new images to Immich. 2. Select the AntelopeV2 face recognition model. 3. Run the Re-extract process. 4. Observe that no faces are detected in the interface. ### Relevant log output ```shell ``` ### Additional information _No response_

deekerman closed this issue

2026-02-20 04:14:38 -05:00

deekerman commented

2026-02-20 04:14:39 -05:00

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Owner

@chrissi5120 commented on GitHub (Sep 7, 2025):

did you reset faces? The models logic is incompatible, i think.. i once tried to switch to antelope but failed for the same reason.

@chrissi5120 commented on GitHub (Sep 7, 2025): did you reset faces? The models logic is incompatible, i think.. i once tried to switch to antelope but failed for the same reason.

deekerman commented

2026-02-20 04:14:39 -05:00

Author

Owner

@davidwaze commented on GitHub (Sep 7, 2025):

Quite same behavior also antelopev2.
When uploading new pictures, don't know why but face detection seems not to be automatically processed.
I need to click manually to the 'missing' button in face detection to get new faces processed.

Didn't pay attention at which version is stopped working bu it worked well before or course.

@davidwaze commented on GitHub (Sep 7, 2025): Quite same behavior also antelopev2. When uploading new pictures, don't know why but face detection seems not to be automatically processed. I need to click manually to the 'missing' button in face detection to get new faces processed. Didn't pay attention at which version is stopped working bu it worked well before or course.

deekerman commented

2026-02-20 04:14:39 -05:00

Author

Owner

@Powerbless commented on GitHub (Oct 29, 2025):

Have also Problems. Get all 2 minutes Errors wirth "failed for all URLs" but the machine learning Container is reachable and Up. Also in the logs that the ML ist become unhealthy and Seconds Later it become healthy back. This toggle all the day over and over...

@Powerbless commented on GitHub (Oct 29, 2025): Have also Problems. Get all 2 minutes Errors wirth "failed for all URLs" but the machine learning Container is reachable and Up. Also in the logs that the ML ist become unhealthy and Seconds Later it become healthy back. This toggle all the day over and over...

deekerman commented

2026-02-20 04:14:39 -05:00

Author

Owner

@alextran1502 commented on GitHub (Oct 29, 2025):

@Powerbless check your machine learning URL settings

@alextran1502 commented on GitHub (Oct 29, 2025): @Powerbless check your machine learning URL settings

deekerman commented

2026-02-20 04:14:39 -05:00

Author

Owner

@Powerbless commented on GitHub (Oct 29, 2025):

I checked it and Double checked it. Running "docker exec -it immich-server curl http://immich-machine-learning:3003" in the VM where immich is running i get a good response @alextran1502

`docker exec -it immich_server curl -v http://immich-machine-learning:3003

Host immich-machine-learning:3003 was resolved.

IPv6: (none)

IPv4: 172.19.0.3

Trying 172.19.0.3:3003...

Connected to immich-machine-learning (172.19.0.3) port 3003

using HTTP/1.x

GET / HTTP/1.1

Host: immich-machine-learning:3003

User-Agent: curl/8.14.1

Accept: /

Request completely sent off

< HTTP/1.1 200 OK

< date: Tue, 28 Oct 2025 10:40:31 GMT

< server: uvicorn

< content-length: 23

< content-type: application/json

Connection #0 to host immich-machine-learning left intact

{"message":"Immich ML"}`

@Powerbless commented on GitHub (Oct 29, 2025): I checked it and Double checked it. Running "docker exec -it immich-server curl http://immich-machine-learning:3003" in the VM where immich is running i get a good response @alextran1502 `docker exec -it immich_server curl -v http://immich-machine-learning:3003 Host immich-machine-learning:3003 was resolved. IPv6: (none) IPv4: 172.19.0.3 Trying 172.19.0.3:3003... Connected to immich-machine-learning (172.19.0.3) port 3003 using HTTP/1.x > GET / HTTP/1.1 > Host: immich-machine-learning:3003 > User-Agent: curl/8.14.1 > Accept: / > Request completely sent off < HTTP/1.1 200 OK < date: Tue, 28 Oct 2025 10:40:31 GMT < server: uvicorn < content-length: 23 < content-type: application/json < Connection #0 to host immich-machine-learning left intact {"message":"Immich ML"}`

deekerman commented

2026-02-20 04:14:39 -05:00

Author

Owner

@SysTechIL commented on GitHub (Oct 29, 2025):

Just an update - I managed to get it working 🙂

I adjusted the values as follows:

Maximum recognition distance 0.3
Minimum recognized faces 1 - to ensure as many faces as possible are detected
Minimum detection score 0.5 (was 0.6)
Going lower than that (e.g. 0.4) results in inaccurate detections most of the time.

After that, I ran the following jobs:
Face detection - Refresh
Facial recognition - Missing

@SysTechIL commented on GitHub (Oct 29, 2025): Just an update - I managed to get it working 🙂 I adjusted the values as follows: Maximum recognition distance 0.3 Minimum recognized faces 1 - to ensure as many faces as possible are detected Minimum detection score 0.5 (was 0.6) Going lower than that (e.g. 0.4) results in inaccurate detections most of the time. After that, I ran the following jobs: Face detection - Refresh Facial recognition - Missing

deekerman commented

2026-02-20 04:14:40 -05:00

Author

Owner

@proud-nerd commented on GitHub (Jan 10, 2026):

Quite same behavior also antelopev2. When uploading new pictures, don't know why but face detection seems not to be automatically processed. I need to click manually to the 'missing' button in face detection to get new faces processed.

Didn't pay attention at which version is stopped working bu it worked well before or course.

@davidwaze

I had exactly the same issue as you and in my case it was due to RAM constrains I had in my docker-compose.yml file. Apparently something regarding RAM usage changed and 2GB wasn't enough anymore if all of those automatic task start running at the same time on image upload. You can check with

docker compose logs immich-machine-learning

looking for something like

Worker (pid:14) was sent SIGKILL! Perhaps out of memory?

@proud-nerd commented on GitHub (Jan 10, 2026): > Quite same behavior also antelopev2. When uploading new pictures, don't know why but face detection seems not to be automatically processed. I need to click manually to the 'missing' button in face detection to get new faces processed. > > Didn't pay attention at which version is stopped working bu it worked well before or course. @davidwaze I had exactly the same issue as you and in my case it was due to RAM constrains I had in my docker-compose.yml file. Apparently something regarding RAM usage changed and 2GB wasn't enough anymore if all of those automatic task start running at the same time on image upload. You can check with ``` docker compose logs immich-machine-learning ``` looking for something like ``` Worker (pid:14) was sent SIGKILL! Perhaps out of memory? ```

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