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# CIFAR100 Classification
Resnet50 Cifar100
MIT
A lightweight image classification model based on the ResNet50 architecture trained on the CIFAR-100 dataset, achieving a test accuracy of 80.93%.
Image Classification English
R
edadaltocg
56
0
Resnet34 Cifar100
MIT
ResNet34 image classification model trained on the CIFAR-100 dataset, achieving a test accuracy of 79.78%.
Image Classification English
R
edadaltocg
42
0
Image Classification Using EANet
Apache-2.0
An image classification model implemented with Keras, using an innovative external attention mechanism to improve computational efficiency
Image Classification English
I
keras-io
54
1
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