· 3 days ago· Dev.to
The Impact of Preprocessing on Image Classification Model Accuracy Explained
From 65% to 87% accuracy on CIFAR-10 using Convolutional Neural Networks - and what went wrong along the way. When building image classification models, most attention is typically given to model architecture, hyperparameters, or training strategies. Yet, the quality and preparation of input data ca
#cloud-computing#image-classification#cnn#data-preprocessing