Update Dockerfile `torch==1.10.2+cu113`
diff --git a/Dockerfile b/Dockerfile
index 95e2cd4af66..a5526189cd9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,8 +10,8 @@ RUN apt update && apt install -y zip htop screen libgl1-mesa-glx
 COPY requirements.txt .
 RUN python -m pip install --upgrade pip
 RUN pip uninstall -y nvidia-tensorboard nvidia-tensorboard-plugin-dlprof
-RUN pip install --no-cache -r requirements.txt albumentations coremltools onnx gsutil notebook numpy Pillow wandb>=0.12.2
-RUN pip install --no-cache torch==1.10.1+cu113 torchvision==0.11.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
+RUN pip install --no-cache -r requirements.txt albumentations wandb gsutil notebook
+RUN pip install --no-cache torch==1.10.2+cu113 torchvision==0.11.3+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
 # RUN pip install --no-cache -U torch torchvision
 
 # Create working directory



## 🛠️ PR Summary

<sub>Made with ❤️ by [Ultralytics Actions](https://github.com/ultralytics/actions)<sub>

### 🌟 Summary
Optimization of the YOLOv5 Docker image dependencies for better performance and compatibility.

### 📊 Key Changes
- Removed explicit installations for `coremltools`, `onnx`, `numpy`, and `Pillow` from the requirements list.
- Updated PyTorch version from `1.10.1+cu113` to `1.10.2+cu113`.
- Updated torchvision from `0.11.2+cu113` to `0.11.3+cu113`.

### 🎯 Purpose & Impact
- 🔄 Streamlining dependencies to reduce potential conflicts and unnecessary package installations.
- 🚀 Leveraging newer versions of PyTorch and torchvision to improve performance and provide the latest features.
- ⚙️ Ensures the Docker image remains compact and up-to-date, benefiting users by reducing image size and build time, which could improve overall efficiency in environments using this image.