diff --git a/inference/core/workflows/core_steps/common/query_language/operations/detections/base.py b/inference/core/workflows/core_steps/common/query_language/operations/detections/base.py
index 0c1bab390..04c6921f7 100644
--- a/inference/core/workflows/core_steps/common/query_language/operations/detections/base.py
+++ b/inference/core/workflows/core_steps/common/query_language/operations/detections/base.py
@@ -403,7 +403,8 @@ def _pick_detections_by_parent_class(
                 dependent_detections_to_keep.add(detection_idx)
                 continue
     detections_to_keep_list = sorted(list(dependent_detections_to_keep))
-    return dependent_detections[detections_to_keep_list]
+    filtered_dependent_detections = dependent_detections[detections_to_keep_list]
+    return sv.Detections.merge([parent_detections, filtered_dependent_detections])
 
 
 def _is_point_within_box(point: np.ndarray, box: np.ndarray) -> bool:
diff --git a/tests/workflows/unit_tests/core_steps/common/query_language/operations/test_detections_operations.py b/tests/workflows/unit_tests/core_steps/common/query_language/operations/test_detections_operations.py
index a78a151a5..723ac1819 100644
--- a/tests/workflows/unit_tests/core_steps/common/query_language/operations/test_detections_operations.py
+++ b/tests/workflows/unit_tests/core_steps/common/query_language/operations/test_detections_operations.py
@@ -173,7 +173,9 @@ def test_picking_detections_by_parent_class_when_no_child_detections_matching()
     result = execute_operations(value=detections, operations=operations)
 
     # then
-    assert len(result) == 0
+    assert len(result) == 2
+    assert np.allclose(result.xyxy, np.array([[0, 0, 10, 10], [20, 20, 30, 30]]))
+    assert np.allclose(result.confidence, [0.3, 0.4])
 
 
 def test_picking_detections_by_parent_class_when_there_are_child_detections_matching() -> (
@@ -198,9 +200,11 @@ def test_picking_detections_by_parent_class_when_there_are_child_detections_matc
     result = execute_operations(value=detections, operations=operations)
 
     # then
-    assert len(result) == 2
-    assert np.allclose(result.xyxy, np.array([[20, 20, 30, 30], [40, 40, 50, 50]]))
-    assert np.allclose(result.confidence, [0.4, 0.5])
+    assert len(result) == 3
+    assert np.allclose(
+        result.xyxy, np.array([[0, 0, 50, 50], [20, 20, 30, 30], [40, 40, 50, 50]])
+    )
+    assert np.allclose(result.confidence, [0.3, 0.4, 0.5])
 
 
 def test_picking_detections_by_parent_class_when_there_are_child_detections_matching_different_parents() -> (
@@ -216,20 +220,29 @@ def test_picking_detections_by_parent_class_when_there_are_child_detections_matc
                 [40, 40, 50, 50],
                 [100, 100, 200, 200],
                 [150, 100, 250, 200],
+                [400, 400, 600, 600],
             ]
         ),
-        class_id=np.array([0, 1, 1, 0, 2]),
-        confidence=np.array([0.3, 0.4, 0.5, 0.6, 0.7]),
-        data={"class_name": np.array(["a", "b", "b", "a", "c"])},
+        class_id=np.array([0, 1, 1, 0, 2, 3]),
+        confidence=np.array([0.3, 0.4, 0.5, 0.6, 0.7, 0.9]),
+        data={"class_name": np.array(["a", "b", "b", "a", "c", "d"])},
     )
 
     # when
     result = execute_operations(value=detections, operations=operations)
 
     # then
-    assert len(result) == 3
+    assert len(result) == 5
     assert np.allclose(
         result.xyxy,
-        np.array([[20, 20, 30, 30], [40, 40, 50, 50], [150, 100, 250, 200]]),
+        np.array(
+            [
+                [0, 0, 50, 50],
+                [100, 100, 200, 200],
+                [20, 20, 30, 30],
+                [40, 40, 50, 50],
+                [150, 100, 250, 200],
+            ]
+        ),
     )
-    assert np.allclose(result.confidence, [0.4, 0.5, 0.7])
+    assert np.allclose(result.confidence, [0.3, 0.6, 0.4, 0.5, 0.7])