feat(server,ml): remove image tagging (#5903)

* remove image tagging

* updated lock

* fixed tests, improved logging

* be nice

* fixed tests

docs/docs/FAQ.md

@@ -56,10 +56,6 @@ Template changes will only apply to new assets. To retroactively apply the templ
 
 This is fixed by running the storage migration job.
 
-### Why is object detection not very good?
-
-The default image tagging model is relatively small. You can change this for a larger model like `google/vit-base-patch16-224` by setting the model name under Settings > Machine Learning Settings > Image Tagging. You can then re-run the Image Tagging job to get improved tags.
-
 ### Why are there so many thumbnail generation jobs?
 
 Immich generates three thumbnails for each asset (blurred, small, and large), as well as a thumbnail for each recognized face.

docs/docs/developer/architecture.mdx

@@ -73,7 +73,7 @@ The Immich Microservices image uses the same `Dockerfile` as the Immich Server,
 - Thumbnail Generation
 - Metadata Extraction
 - Video Transcoding
-- Object Tagging
+- Smart Search
 - Facial Recognition
 - Storage Template Migration
 - Sidecar (see [XMP Sidecars](/docs/features/xmp-sidecars.md))

docs/docs/install/config-file.md

@@ -38,9 +38,6 @@ The default configuration looks like this:
     "metadataExtraction": {
       "concurrency": 5
     },
-    "objectTagging": {
-      "concurrency": 2
-    },
     "recognizeFaces": {
       "concurrency": 2
     },
@@ -73,11 +70,6 @@ The default configuration looks like this:
   "machineLearning": {
     "enabled": true,
     "url": "http://immich-machine-learning:3003",
-    "classification": {
-      "enabled": false,
-      "modelName": "microsoft/resnet-50",
-      "minScore": 0.9
-    },
     "clip": {
       "enabled": true,
       "modelName": "ViT-B-32__openai"