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No face recognition in new images #7110
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opened 2026-02-05 12:47:04 +03:00 by OVERLORD
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Reference: immich-app/immich#7110
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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
Device make and model
No response
Your docker-compose.yml content
Your .env content
Reproduction steps
Relevant log output
Additional information
No response
@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.
@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.
@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...
@alextran1502 commented on GitHub (Oct 29, 2025):
@Powerbless check your machine learning URL settings
@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
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"}`
@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
@proud-nerd commented on GitHub (Jan 11, 2026):
@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
looking for something like