Update README.md

README.md

@@ -16,7 +16,7 @@ RealHand quality classifier from **[Counting Hallucinations in Diffusion Models]
 it decides whether a generated hand image is clean enough to be counted, filtering
 out visually failed images before the finger detector runs. Without this gate,
 malformed images would be miscounted rather than flagged as visual failures.
-Therefore, you need this reproduce the non-counting failure rates in the RealHand dataset.
+Therefore, you need this reproduce the non-counting failure rates (NCFR) in the RealHand dataset.
 
 ## Architecture & checkpoint