feat!: make classification module a vision labeled module

[NorbertKlockiewicz]

Description

• Refactors ClassificationModule into a type-safe, labeled vision module — forward() now returns Record<'GOLDEN_RETRIEVER' | 'TABBY' | ..., number> instead of Record<string, number>
• Adds Imagenet1kLabel enum (1000 ImageNet class names) as a TS constant, replacing the hardcoded C++ Constants.h label array
• Makes normalization (normMean/normStd) and label names configurable from JS, passed through to the native Classification constructor
• Introduces fromCustomModel factory accepting a ClassificationConfig with a user-provided labelMap and optional preprocessing params
• Adds VisionLabeledModule base class for shared label-mapping logic

Introduces a breaking change?

• Yes
• No

Type of change

• Bug fix (change which fixes an issue)
• New feature (change which adds functionality)
• Documentation update (improves or adds clarity to existing documentation)
• Other (chores, tests, code style improvements etc.)

Tested on

• iOS
• Android

Testing instructions

Run classification in computer vision example app

Screenshots

Related issues

Checklist

• I have performed a self-review of my code
• I have commented my code, particularly in hard-to-understand areas
• I have updated the documentation accordingly
• My changes generate no new warnings

Additional notes