Update README.md

README.md

@@ -145,3 +145,18 @@ Base model: YOLOv8n (Nano)
 <img alt= "Confusion Matrix" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/confusion_matrix_normalized.png" width="1100" height="700"></img>
 <img alt= "F1 Curve" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/BoxF1_curve.png" width="1100" height="700"></img>
 <img alt= "Precision-Recall Curve" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/BoxPR_curve.png" width="1100" height="700"></img>
+
+### Performance Analysis
+The model achieved high precision and recall across all gesture classes, indicating strong detection performance on the test set.
+
+Several factors contributed to this performance:
+* A small number of distinct gesture classes
+* Highly visible and consistent hand poses
+* A balanced dataset for most classes
+However, the dataset size is relatively small, which may inflate evaluation scores and limit generalization.
+
+Failure cases were observed in several situations:
+* Complex or cluttered backgrounds
+* Low confidence detections
+* Ambiguous or blurred gesture poses
+These issues highlight areas where the model could be improved with more diverse training data.