Update tasks/image.py

tasks/image.py

@@ -180,10 +180,9 @@ async def evaluate_image(model_path: str = "models_v3/yolo11s_best.engine", requ
     
     # Load and prepare the dataset
     dataset = load_dataset(request.dataset_name, token=os.getenv("HF_TOKEN"))
-    
+
     # Split dataset
-    # train_test = dataset["train"]
-    test_dataset = dataset["val"]
+    test_dataset = dataset["test"]
     
     model = YOLO(model_path, task="detect")