diff --git a/docker/Dockerfile-jetson-jetpack5 b/docker/Dockerfile-jetson-jetpack5
index 486ed40a..bfedb6e0 100644
--- a/docker/Dockerfile-jetson-jetpack5
+++ b/docker/Dockerfile-jetson-jetpack5
@@ -1,9 +1,9 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # Builds ultralytics/ultralytics:jetson-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
-# Supports JetPack5.x for YOLO11 on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX
+# Supports JetPack5.1.2 for YOLO11 on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX
 
-# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
-FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
+# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
+FROM nvcr.io/nvidia/l4t-jetpack:r35.4.1
 
 # Set environment variables
 ENV PYTHONUNBUFFERED=1 \
@@ -16,13 +16,10 @@ ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
     https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
     /root/.config/Ultralytics/
 
-# Install linux packages
-# g++ required to build 'tflite_support' and 'lap' packages
-# libusb-1.0-0 required for 'tflite_support' package when exporting to TFLite
-# pkg-config and libhdf5-dev (not included) are needed to build 'h5py==3.11.0' aarch64 wheel required by 'tensorflow'
+# Install dependencies
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
-    gcc git zip unzip  wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 \
+    git python3-pip libopenmpi-dev libopenblas-base libomp-dev \
     && rm -rf /var/lib/apt/lists/*
 
 # Create working directory
@@ -33,15 +30,13 @@ COPY . .
 RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
 ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
 
-# Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
-RUN sed -i '/opencv-python/d' pyproject.toml
-
-# Download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (JetPack 5.1). Other versions can be seen in https://elinux.org/Jetson_Zoo#ONNX_Runtime
-ADD https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
-
-# Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
+# Pip install onnxruntime-gpu, torch, torchvision and ultralytics
 RUN python3 -m pip install --upgrade pip uv
-RUN uv pip install --system onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
+RUN uv pip install --system \
+    https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.18.0-cp38-cp38-linux_aarch64.whl \
+    https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.1.0a0+41361538.nv23.06-cp38-cp38-linux_aarch64.whl \
+    https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.16.2+c6f3977-cp38-cp38-linux_aarch64.whl
+
 RUN uv pip install --system -e ".[export]"
 
 # Remove extra build files