diff --git a/subprojects/gst-plugins-bad/ext/onnx/gstonnxclient.cpp b/subprojects/gst-plugins-bad/ext/onnx/gstonnxclient.cpp
index a8600d2052..f8df0f3374 100644
--- a/subprojects/gst-plugins-bad/ext/onnx/gstonnxclient.cpp
+++ b/subprojects/gst-plugins-bad/ext/onnx/gstonnxclient.cpp
@@ -203,56 +203,65 @@ bool GstOnnxClient::createSession (std::string modelFile,
         break;
     };
 
-    Ort::SessionOptions sessionOptions;
-    // for debugging
-    //sessionOptions.SetIntraOpNumThreads (1);
-    sessionOptions.SetGraphOptimizationLevel (onnx_optim);
-    m_provider = provider;
-    switch (m_provider) {
-      case GST_ONNX_EXECUTION_PROVIDER_CUDA:
+    try {
+      Ort::SessionOptions sessionOptions;
+      // for debugging
+      //sessionOptions.SetIntraOpNumThreads (1);
+      sessionOptions.SetGraphOptimizationLevel (onnx_optim);
+      m_provider = provider;
+      switch (m_provider) {
+        case GST_ONNX_EXECUTION_PROVIDER_CUDA:
 #ifdef GST_ML_ONNX_RUNTIME_HAVE_CUDA
-        Ort::ThrowOnError (OrtSessionOptionsAppendExecutionProvider_CUDA
-            (sessionOptions, 0));
+          Ort::ThrowOnError (OrtSessionOptionsAppendExecutionProvider_CUDA
+              (sessionOptions, 0));
 #else
-        return false;
+          GST_ERROR ("ONNX CUDA execution provider not supported");
+          return false;
 #endif
-        break;
-      default:
-        break;
+          break;
+        default:
+          break;
 
-    };
-    session = new Ort::Session (getEnv (), modelFile.c_str (), sessionOptions);
-    auto inputTypeInfo = session->GetInputTypeInfo (0);
-    std::vector < int64_t > inputDims =
-        inputTypeInfo.GetTensorTypeAndShapeInfo ().GetShape ();
-    if (inputImageFormat == GST_ML_MODEL_INPUT_IMAGE_FORMAT_HWC) {
-      height = inputDims[1];
-      width = inputDims[2];
-      channels = inputDims[3];
-    } else {
-      channels = inputDims[1];
-      height = inputDims[2];
-      width = inputDims[3];
-    }
-
-    fixedInputImageSize = width > 0 && height > 0;
-    GST_DEBUG ("Number of Output Nodes: %d", (gint) session->GetOutputCount ());
-
-    Ort::AllocatorWithDefaultOptions allocator;
-    auto input_name = session->GetInputNameAllocated (0, allocator);
-    GST_DEBUG ("Input name: %s", input_name.get());
-
-    for (size_t i = 0; i < session->GetOutputCount (); ++i) {
-      auto output_name = session->GetOutputNameAllocated (i, allocator);
-      GST_DEBUG("Output name %lu:%s", i, output_name.get());
-      outputNames.push_back (std::move(output_name));
-      auto type_info = session->GetOutputTypeInfo (i);
-      auto tensor_info = type_info.GetTensorTypeAndShapeInfo ();
-
-      if (i < GST_ML_OUTPUT_NODE_NUMBER_OF) {
-        auto function = outputNodeIndexToFunction[i];
-        outputNodeInfo[function].type = tensor_info.GetElementType ();
+      };
+      session =
+          new Ort::Session (getEnv (), modelFile.c_str (), sessionOptions);
+      auto inputTypeInfo = session->GetInputTypeInfo (0);
+      std::vector < int64_t > inputDims =
+          inputTypeInfo.GetTensorTypeAndShapeInfo ().GetShape ();
+      if (inputImageFormat == GST_ML_MODEL_INPUT_IMAGE_FORMAT_HWC) {
+        height = inputDims[1];
+        width = inputDims[2];
+        channels = inputDims[3];
+      } else {
+        channels = inputDims[1];
+        height = inputDims[2];
+        width = inputDims[3];
       }
+
+      fixedInputImageSize = width > 0 && height > 0;
+      GST_DEBUG ("Number of Output Nodes: %d",
+          (gint) session->GetOutputCount ());
+
+      Ort::AllocatorWithDefaultOptions allocator;
+      auto input_name = session->GetInputNameAllocated (0, allocator);
+      GST_DEBUG ("Input name: %s", input_name.get ());
+
+      for (size_t i = 0; i < session->GetOutputCount (); ++i) {
+        auto output_name = session->GetOutputNameAllocated (i, allocator);
+        GST_DEBUG ("Output name %lu:%s", i, output_name.get ());
+        outputNames.push_back (std::move (output_name));
+        auto type_info = session->GetOutputTypeInfo (i);
+        auto tensor_info = type_info.GetTensorTypeAndShapeInfo ();
+
+        if (i < GST_ML_OUTPUT_NODE_NUMBER_OF) {
+          auto function = outputNodeIndexToFunction[i];
+          outputNodeInfo[function].type = tensor_info.GetElementType ();
+        }
+      }
+    }
+    catch (Ort::Exception & ortex) {
+      GST_ERROR ("%s", ortex.what ());
+      return false;
     }
 
     return true;
diff --git a/subprojects/gst-plugins-bad/ext/onnx/gstonnxobjectdetector.cpp b/subprojects/gst-plugins-bad/ext/onnx/gstonnxobjectdetector.cpp
index 720d8236b4..c86bd40205 100644
--- a/subprojects/gst-plugins-bad/ext/onnx/gstonnxobjectdetector.cpp
+++ b/subprojects/gst-plugins-bad/ext/onnx/gstonnxobjectdetector.cpp
@@ -643,9 +643,15 @@ gst_onnx_object_detector_process (GstBaseTransform * trans, GstBuffer * buf)
   }
   if (gst_buffer_map (buf, &info, GST_MAP_READ)) {
     GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (trans);
-    auto boxes = GST_ONNX_MEMBER (self)->run (info.data, vmeta,
-        self->label_file ? self->label_file : "",
-        self->score_threshold);
+    std::vector < GstOnnxNamespace::GstMlBoundingBox > boxes;
+    try {
+      boxes = GST_ONNX_MEMBER (self)->run (info.data, vmeta,
+          self->label_file ? self->label_file : "", self->score_threshold);
+    }
+    catch (Ort::Exception & ortex) {
+      GST_ERROR_OBJECT (self, "%s", ortex.what ());
+      return FALSE;
+    }
   for (auto & b:boxes) {
       auto vroi_meta = gst_buffer_add_video_region_of_interest_meta (buf,
           GST_ONNX_OBJECT_DETECTOR_META_NAME,