Image Classification On Emnist Digits
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| WaveMixLite-112/16 | 99.82 | WaveMix: A Resource-efficient Neural Network for Image Analysis | |
| OPIUM Classifier | 96.30 | EMNIST: an extension of MNIST to handwritten letters | |
| SVM classifier | 97.74 | Handwritten digit and letter recognition using hybrid dwt-dct with knn and svm classifier | - |
| VGG-5(Spinal FC) | 99.75 | SpinalNet: Deep Neural Network with Gradual Input | |
| Linear Classifier | 84.70 | EMNIST: an extension of MNIST to handwritten letters | |
| µ2Net (ViT-L/16) | 99.82 | An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems | |
| OptConv+Log+Perc | 99.43 | Efficient Neural Vision Systems Based on Convolutional Image Acquisition | - |
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