Work in progress

Cat pain recognition assistance based on ResNet18 with AdamW and Focal Loss.

This project attempts to optimize recognizing pain in cats viable through their facial expressions, that is more resources-friendly in mobile systems while also mainting its accuracy. Utlizing X (formerly Twitter) cats data restricted to only the Indonesian region from community-driven cat owner hubs, guided by the Feline Grimace Scale (FGS).

Though unorthodox, clear reliability is proven as shown from preceeding foundational researches that uses a more traditional approach in data collection (direct interaction).