AI Models in RawCull

Sun, 20 Sep 2026 00:00:00 +0000

AI Models in RawCull

RawCull uses several local machine-learning backends, but it does not treat them as interchangeable. Each model family has a deliberately narrow job:

Model or backend	RawCull job	Output used by RawCull
DataComp CLIP	Image similarity, burst grouping, semantic search, and coarse subject labels for Deep Review	Normalized image/text embedding vectors and cosine distances/similarities
OpenAI CLIP	Fully implemented alternative CLIP bundle; currently excluded from the production model list	The same typed CLIP artifacts as DataComp, with a different model fingerprint
SAM 3	Prompted subject segmentation for Deep Review and separate instance segmentation for Objects	A chosen subject mask, or up to eight numbered masks per concept
Qwen3-VL-2B-Instruct	Standalone photo assessment; concept discovery and board interpretation in Objects	A photo assessment, validated object concepts and per-object findings, or a visible retryable response failure
Apple Vision feature print	Always-available image-similarity fallback	Opaque Vision feature-print artifacts and native distances

All inference stays in the application process. The downloadable model assets are installed separately because they are large, but the analysis path does not send photographs to a remote inference service.

Artificial Intelligence

Fri, 21 Aug 2026 00:00:00 +0000

Artificial Intelligence in RawCull

This section explains how RawCull uses reusable AI components without allowing model-runtime details to spread through the application. It is written as a learning path: first understand the boundary between RawCull and PhotoAIKit, then study the package itself, and finally follow CLIP from application startup to a persisted similarity artifact.

The source for this section comes from the pinned PhotoAIKit dependency and the RawCull repository. Paths beginning with Sources/ refer to PhotoAIKit at the revision in Package.resolved. RawCull intelligence code lives under RawCull/Intelligence; app composition and presentation remain under RawCull/Main, RawCull/Model, and RawCull/Views.

Qwen on RawCull

AI Models in RawCull

AI Models in RawCull

Artificial Intelligence

Artificial Intelligence in RawCull