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CIFAR-10-classification-with-CNN

Dataset

구성 : 32 * 32 * 3 이미지와 해당하는 class label
class 수 : 10개
Train data : 50000개
Test data : 10000개

Task

10000개의 test dataset image를 올바르게 분류하는 Image Classification task

Results

Description Accuracy
LeNet-5 73.479 %
AlexNet 86.959 %
ResNet56 92.889 %
ResNet56+CBAM 93.269 %
DenseNet 94.230 %

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