Impact of Camera Characteristics on DNN Model Inference Performance

Introduction

There are many image recognition applications that classify images using pre-trained Neural networks. However, testing images used in these application could be captured by different users, cameras, environments, etc. How could the image quality affects the application decisions or classification? Using ISETCameraDesigner, we will generate images with different camera characteristics. These set of images will be evaluated on different DNN model inferences and conclusions will be drawn about the different DNN models performance, scores, and effect of the images quality on the predictions.

Appendix

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