Refactor output schema to use list for objects and simplify feature definitions

detect-objects.py

@@ -331,13 +331,13 @@ def main():
     # Define output schema before processing
     logger.info("📊 Creating output schema...")
     new_features = dataset.features.copy()
-    new_features["objects"] = Sequence(
+    new_features["objects"] = [
         {
-            "bbox": Sequence(Value("float32"), length=4),
-            "category": ClassLabel(names=[class_name]),
-            "score": Value("float32"),
+            "bbox": [float, float, float, float],
+            "category": class_name,
+            "score": float,
         }
-    )
+    ]
 
     # Process dataset with explicit output features
     logger.info("🔍 Processing images...")