diff --git a/docker/Dockerfile b/docker/Dockerfile
index 25e9c4e2..cdba060c 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -6,7 +6,6 @@
 FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime
 
 # Set environment variables
-ENV APP_HOME /usr/src/ultralytics
 # Avoid DDP error "MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library" https://github.com/pytorch/pytorch/issues/37377
 ENV MKL_THREADING_LAYER=GNU
 
@@ -26,12 +25,12 @@ RUN apt update \
 RUN apt upgrade --no-install-recommends -y openssl tar
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents and assign permissions
-COPY . $APP_HOME
+COPY . .
 RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Install pip packages
 RUN python3 -m pip install --upgrade pip wheel
@@ -62,7 +61,7 @@ RUN rm -rf tmp
 # t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus '"device=2,3"' $t
 
 # Pull and Run with local directory access
-# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
+# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/shared/datasets:/datasets $t
 
 # Kill all
 # sudo docker kill $(sudo docker ps -q)
diff --git a/docker/Dockerfile-arm64 b/docker/Dockerfile-arm64
index e7284e99..179ea7eb 100644
--- a/docker/Dockerfile-arm64
+++ b/docker/Dockerfile-arm64
@@ -6,9 +6,6 @@
 # Start FROM Debian image for arm64v8 https://hub.docker.com/r/arm64v8/debian (new)
 FROM arm64v8/debian:bookworm-slim
 
-# Set environment variables
-ENV APP_HOME /usr/src/ultralytics
-
 # Downloads to user config dir
 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 \
@@ -21,12 +18,12 @@ RUN apt update \
     && apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop gcc libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents and assign permissions
-COPY . $APP_HOME
+COPY . .
 RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Remove python3.11/EXTERNALLY-MANAGED to avoid 'externally-managed-environment' issue, Debian 12 Bookworm error
 RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
@@ -51,4 +48,4 @@ RUN ln -sf /usr/bin/python3 /usr/bin/python
 # t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host $t
 
 # Pull and Run with local volume mounted
-# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
+# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
diff --git a/docker/Dockerfile-conda b/docker/Dockerfile-conda
index 1f8fe675..305e6d1c 100644
--- a/docker/Dockerfile-conda
+++ b/docker/Dockerfile-conda
@@ -37,4 +37,4 @@ RUN conda config --set solver libmamba && \
 # t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host $t
 
 # Pull and Run with local volume mounted
-# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
+# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
diff --git a/docker/Dockerfile-cpu b/docker/Dockerfile-cpu
index be9d3e0b..054aee6b 100644
--- a/docker/Dockerfile-cpu
+++ b/docker/Dockerfile-cpu
@@ -5,9 +5,6 @@
 # Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
 FROM ubuntu:23.10
 
-# Set environment variables
-ENV APP_HOME /usr/src/ultralytics
-
 # Downloads to user config dir
 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 \
@@ -19,12 +16,12 @@ RUN apt update \
     && apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents (previously used git clone to avoid permission errors)
-COPY . $APP_HOME
+COPY . .
 RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
 RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
@@ -57,4 +54,4 @@ RUN ln -sf /usr/bin/python3 /usr/bin/python
 # t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host --name NAME $t
 
 # Pull and Run with local volume mounted
-# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
+# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
diff --git a/docker/Dockerfile-jetson-jetpack4 b/docker/Dockerfile-jetson-jetpack4
index 0895ae3e..dadf4513 100644
--- a/docker/Dockerfile-jetson-jetpack4
+++ b/docker/Dockerfile-jetson-jetpack4
@@ -5,9 +5,6 @@
 # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-cuda
 FROM nvcr.io/nvidia/l4t-cuda:10.2.460-runtime
 
-# Set environment variables
-ENV APP_HOME /usr/src/ultralytics
-
 # Downloads to user config dir
 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 \
@@ -27,12 +24,12 @@ RUN ln -sf /usr/bin/python3.8 /usr/bin/python3
 RUN ln -s /usr/bin/pip3 /usr/bin/pip
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents and assign permissions
-COPY . $APP_HOME
-RUN chown -R root:root $APP_HOME
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+COPY . .
+RUN chown -R root:root .
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Download onnxruntime-gpu 1.8.0 and tensorrt 8.2.0.6
 # Other versions can be seen in https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
diff --git a/docker/Dockerfile-jetson-jetpack5 b/docker/Dockerfile-jetson-jetpack5
index 53ca0ecd..07e81ab7 100644
--- a/docker/Dockerfile-jetson-jetpack5
+++ b/docker/Dockerfile-jetson-jetpack5
@@ -5,9 +5,6 @@
 # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
 FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
 
-# Set environment variables
-ENV APP_HOME /usr/src/ultralytics
-
 # Downloads to user config dir
 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 \
@@ -21,12 +18,12 @@ RUN apt update \
     && apt install --no-install-recommends -y gcc git zip unzip  wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents and assign permissions
-COPY . $APP_HOME
+COPY . .
 RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
 RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
diff --git a/docker/Dockerfile-jetson-jetpack6 b/docker/Dockerfile-jetson-jetpack6
index 7183b348..7d3d0946 100644
--- a/docker/Dockerfile-jetson-jetpack6
+++ b/docker/Dockerfile-jetson-jetpack6
@@ -5,9 +5,6 @@
 # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
 FROM nvcr.io/nvidia/l4t-jetpack:r36.3.0
 
-# Set environment variables
-ENV APP_HOME /usr/src/ultralytics
-
 # Downloads to user config dir
 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 \
@@ -18,12 +15,12 @@ RUN apt update && \
     apt install --no-install-recommends -y git python3-pip libopenmpi-dev libopenblas-base libomp-dev
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents and assign permissions
-COPY . $APP_HOME
-RUN chown -R root:root $APP_HOME
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+COPY . .
+RUN chown -R root:root .
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Download onnxruntime-gpu 1.18.0 from https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
 ADD https://nvidia.box.com/shared/static/48dtuob7meiw6ebgfsfqakc9vse62sg4.whl onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl
diff --git a/docker/Dockerfile-python b/docker/Dockerfile-python
index 9ee42cc8..ffecbab9 100644
--- a/docker/Dockerfile-python
+++ b/docker/Dockerfile-python
@@ -5,9 +5,6 @@
 # Use the official Python 3.10 slim-bookworm as base image
 FROM python:3.10-slim-bookworm
 
-# Set environment variables
-ENV APP_HOME /usr/src/ultralytics
-
 # Downloads to user config dir
 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 \
@@ -19,12 +16,12 @@ RUN apt update \
     && apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
 
 # Create working directory
-WORKDIR $APP_HOME
+WORKDIR /ultralytics
 
 # Copy contents and assign permissions
-COPY . $APP_HOME
+COPY . .
 RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
-ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
+ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
 
 # Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
 # RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
@@ -54,4 +51,4 @@ RUN rm -rf tmp
 # t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host $t
 
 # Pull and Run with local volume mounted
-# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
+# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t