Add YOLO11 TensorRT quantization benchmark scripts

- Engine build scripts (FP16/INT8)
- Benchmark validation scripts
- Result parsing and analysis tools
- COCO dataset configuration

run_correct_benchmark.bat

@@ -0,0 +1,34 @@
+@echo off
+echo ============================================
+echo YOLO11n Benchmark - Person & Vehicle Only
+echo Classes: 0(person),1(bicycle),2(car),3(motorcycle),5(bus),7(truck)
+echo ============================================
+echo.
+
+call conda activate yolo
+
+echo [1/4] Testing FP32 (PyTorch)...
+yolo val model=yolo11n.pt data=coco.yaml imgsz=640 batch=1 device=0 classes=0,1,2,3,5,7 > fp32_results.txt 2>&1
+echo Done: fp32_results.txt
+
+echo.
+echo [2/4] Testing INT8 640p...
+yolo val model=yolo11n_int8_b1_8.engine data=coco.yaml imgsz=640 batch=1 device=0 classes=0,1,2,3,5,7 > int8_640_results.txt 2>&1
+echo Done: int8_640_results.txt
+
+echo.
+echo [3/4] Testing FP16 640p...
+yolo val model=yolo11n_fp16_640.engine data=coco.yaml imgsz=640 batch=1 device=0 classes=0,1,2,3,5,7 > fp16_640_results.txt 2>&1
+echo Done: fp16_640_results.txt
+
+echo.
+echo [4/4] Testing FP16 480p...
+yolo val model=yolo11n_fp16_480.engine data=coco.yaml imgsz=480 batch=1 device=0 classes=0,1,2,3,5,7 > fp16_480_results.txt 2>&1
+echo Done: fp16_480_results.txt
+
+echo.
+echo ============================================
+echo All validation tests completed!
+echo Now run: python parse_final.py
+echo ============================================
+pause