Skin Progress Tracking With Photo Comparison

via “multi-image-health-trend-tracking-and-comparison”

Unique: Implements embedding-based image comparison that detects subtle visual changes in pet health markers across time by computing cosine similarity between CNN feature vectors rather than pixel-level diffing, enabling detection of gradual condition progression despite lighting or angle variations

vs others: Enables pet owners to build visual health documentation over time without manual note-taking, whereas traditional vet records are episodic and fragmented; however, accuracy depends on consistent photography and cannot detect non-visible health changes