diff --git a/subprojects/gst-plugins-bad/ext/onnx/README.md b/subprojects/gst-plugins-bad/ext/onnx/README.md
index c00ab625a1..191bc21ca9 100644
--- a/subprojects/gst-plugins-bad/ext/onnx/README.md
+++ b/subprojects/gst-plugins-bad/ext/onnx/README.md
@@ -3,13 +3,13 @@ ONNX Build Instructions
 
 ### Build
 
- 1. do a recursive checkout of [onnxruntime tag 1.15.1](https://github.com/microsoft/onnxruntime)
+ 1. do a recursive checkout of [onnxruntime tag 1.16.3](https://github.com/microsoft/onnxruntime)
  1. `$SRC_DIR` and `$BUILD_DIR` are local source and build directories
  1. To run with CUDA, both [CUDA](https://developer.nvidia.com/cuda-downloads) and [cuDNN](https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_762/cudnn-install/index.html) libraries must be installed.
 
 ```
 $ cd $SRC_DIR
-$ git clone --recursive https://github.com/microsoft/onnxruntime.git && cd onnxruntime && git checkout -b v1.15.1 refs/tags/v1.15.1
+$ git clone --recursive https://github.com/microsoft/onnxruntime.git && cd onnxruntime && git checkout -b v1.16.3 refs/tags/v1.16.3
 $ mkdir $BUILD_DIR/onnxruntime && cd $BUILD_DIR/onnxruntime
 
 ```
@@ -34,5 +34,3 @@ cmake -Donnxruntime_BUILD_SHARED_LIB=ON -DBUILD_TESTING=OFF -Donnxruntime_BUILD_
 ```
 cmake -Donnxruntime_BUILD_SHARED_LIB=ON -DBUILD_TESTING=OFF -Donnxruntime_BUILD_UNIT_TESTS=OFF -Donnxruntime_USE_DNNL=ON -Donnxruntime_DNNL_GPU_RUNTIME=ocl -Donnxruntime_DNNL_OPENCL_ROOT=$SRC_DIR/OpenCL-SDK/install  $SRC_DIR/onnxruntime/cmake && make -j$(nproc) && sudo make install
 ```
-
-Note: for Fedora build, you must add the following to `CMAKE_CXX_FLAGS` : `-Wno-stringop-overflow  -Wno-array-bounds`
diff --git a/subprojects/gst-plugins-bad/ext/onnx/gstonnxinference.cpp b/subprojects/gst-plugins-bad/ext/onnx/gstonnxinference.cpp
index 3be3f40fec..349b3108f0 100644
--- a/subprojects/gst-plugins-bad/ext/onnx/gstonnxinference.cpp
+++ b/subprojects/gst-plugins-bad/ext/onnx/gstonnxinference.cpp
@@ -27,32 +27,8 @@
  * This element can apply an ONNX model to video buffers. It attaches
  * the tensor output to the buffer as a @ref GstTensorMeta.
  *
- * To install ONNX on your system, recursively clone the repository
- * https://github.com/microsoft/onnxruntime.git, check out tag 1.15.1
- * and build and install with cmake:
- *
- * CPU:
- *
- * cmake -Donnxruntime_BUILD_SHARED_LIB=ON -DBUILD_TESTING=OFF \
- * -Donnxruntime_BUILD_UNIT_TESTS=OFF $SRC_DIR/onnxruntime/cmake \
- * && make -j$(nproc) && sudo make install
- *
- *
- * CUDA :
- *
- * cmake -Donnxruntime_BUILD_SHARED_LIB=ON -DBUILD_TESTING=OFF \
- * -Donnxruntime_BUILD_UNIT_TESTS=OFF -Donnxruntime_USE_CUDA=ON \
- * -Donnxruntime_CUDA_HOME=/usr/local/cuda \
- * -Donnxruntime_CUDNN_HOME=/usr/local/cuda -DCMAKE_CUDA_ARCHITECTURES=native \
- * -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc \
- * $SRC_DIR/onnxruntime/cmake && make -j$(nproc) && sudo make install
- *
- *
- * where :
- *
- * 1. $SRC_DIR and $BUILD_DIR are local source and build directories
- * 2. To run with CUDA, both CUDA and cuDNN libraries must be installed.
- *
+ * To install ONNX on your system, follow the instructions in the
+ * README.md in with this plugin.
  *
  * ## Example launch command:
  *