diff --git a/integration_tests/benchmarks/data/load_coco.py b/integration_tests/benchmarks/data/load_coco.py
index 22edfd4a9..ddcd0d446 100644
--- a/integration_tests/benchmarks/data/load_coco.py
+++ b/integration_tests/benchmarks/data/load_coco.py
@@ -231,6 +231,7 @@ def create_bounding_boxes(
             "is_instance"
         ]  # type: ignore - dict typing
         is True
+        and bitmask_to_bbox(mask_ids == segmentation["id"]) is not None
     ]
 
 
@@ -272,6 +273,7 @@ def create_bounding_polygons(
             "is_instance"
         ]  # type: ignore - dict typing
         is True
+        and bitmask_to_polygon(mask_ids == segmentation["id"]) is not None
     ]
 
 
diff --git a/integration_tests/benchmarks/data/run_yolo.py b/integration_tests/benchmarks/data/run_yolo.py
index 9e30a603a..1d844c6fc 100644
--- a/integration_tests/benchmarks/data/run_yolo.py
+++ b/integration_tests/benchmarks/data/run_yolo.py
@@ -291,9 +291,14 @@ def parse_bitmask_into_multipolygon_raster_detection(
     prediction = parse_bitmask_detection(
         result=result, datum=datum, label_key=label_key, resample=resample
     )
+    annotations = []
     for annotation in prediction.annotations:
         array = annotation.raster.array
-        annotation.raster = bitmask_to_multipolygon_raster(array)
+        multipolygon = bitmask_to_multipolygon_raster(array)
+        if multipolygon is not None:
+            annotation.raster = multipolygon
+            annotations.append(annotation)
+    prediction.annotations = annotations
     return prediction
 
 
@@ -306,10 +311,15 @@ def parse_bitmask_into_bounding_polygon_detection(
     prediction = parse_bitmask_detection(
         result=result, datum=datum, label_key=label_key, resample=resample
     )
+    annotations = []
     for annotation in prediction.annotations:
         array = annotation.raster.array
-        annotation.polygon = bitmask_to_polygon(array)
-        annotation.raster = None
+        polygon = bitmask_to_polygon(array)
+        if polygon is not None:
+            annotation.polygon = polygon
+            annotation.raster = None
+            annotations.append(annotation)
+    prediction.annotations = annotations
     return prediction
 
 
diff --git a/integration_tests/benchmarks/object-detection/benchmark_script.py b/integration_tests/benchmarks/object-detection/benchmark_script.py
index c8bef39a4..b73d68903 100644
--- a/integration_tests/benchmarks/object-detection/benchmark_script.py
+++ b/integration_tests/benchmarks/object-detection/benchmark_script.py
@@ -89,10 +89,10 @@ def ingest_groundtruths(
             elif len(chunks) < chunk_size:
                 continue
 
-            dataset.add_groundtruths(chunks)
+            dataset.add_groundtruths(chunks, timeout=30)
             chunks = []
         if chunks:
-            dataset.add_groundtruths(chunks)
+            dataset.add_groundtruths(chunks, timeout=30)
 
 
 def ingest_predictions(
@@ -122,10 +122,10 @@ def ingest_predictions(
             elif len(chunks) < chunk_size:
                 continue
 
-            model.add_predictions(dataset, chunks)
+            model.add_predictions(dataset, chunks, timeout=30)
             chunks = []
         if chunks:
-            model.add_predictions(dataset, chunks)
+            model.add_predictions(dataset, chunks, timeout=30)
 
 
 def run_base_evaluation(dset: Dataset, model: Model):
@@ -292,6 +292,8 @@ def run_benchmarking_analysis(
         for gt_type, gt_filename in groundtruths.items():
             for pd_type, pd_filename in predictions.items():
 
+                print(gt_type, pd_type)
+
                 try:
                     dataset = Dataset.create(name="coco")
                     model = Model.create(name="yolo")