Using PyTorch for Image Classification and Object Detection

Data Preparation

Understand how to prepare data by splitting datasets into training, validation, and test subsets to effectively evaluate and train image classification models using PyTorch.

We'll cover the following...

Spliting datasets
Implementation of the data preparation

1.Before We Start

2.Basics of Convolutional Neural Networks

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3.Popular Neural Network Architectures for Image Classification

4.Using PyTorch for Image Classification

5.Model Deployment

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6.Basics of Object Detection

7.Two-Stage Object Detection Architectures

8.One-Stage Object Detection Architectures

9.YOLOv7 Model Train and Inference on Edge

10.Conclusion

11.Appendix

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Data Preparation

Spliting datasets