Image Classification and CNN
Building a CNN Classifier with PyTorch: Part 1
Building a CNN Classifier with PyTorch: Part 2
Introduction to DDP with PyTorch
Single Node Multi-GPU Training with torchrun
Multi-node Distributed Training with PyTorch
Lab Setup

Visualizing the Augmented Design Safe Dataset

Before we move on to building the architecture of our CNN model, let’s visualize some of our design safe dataset with the data augmentation strategy described above.

Houses post Hurricane Harvey. Each of these images has been labeled as having low, medium, or high levels of damage.
The dataset contains images of houses post Hurricane Harvey. Each of these images has been labeled as having low, medium, or high levels of damage. These images have been modified in a variety of ways (rotating, pixels have changed, etc.)

As we can see above, our dataset contains images of houses post Hurricane Harvey. Each of these images has been labeled as having low, medium, or high levels of damage. These images have been modified in a variety of ways (rotating, pixels have changed, etc.)

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CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)