Model | Parameters | Feature Extraction | No. of classes | No of images / Class | Accuracy | Validation Accuracy | |
---|---|---|---|---|---|---|---|
1 | SVM | kernel='rbf' , gamma=0.1, C=1000 | None | 44 | 1000 | 96% | |
2 | SVM | kernel=rbf c=100 gamma=0.02 | PCA, Sobel, Robert, HOG | 44 | 2088 | 99% | |
3 | CNN | 5 Conv, Softmax Classifier | None | 44 | 1000 | 98.80% | 99.87 |
4 | CNN | 5 Conv, Softmax Classifier | None | 122 | 1000 | 96.53% | 97.05% |
5 | ResNet | 51 Layers | None | 122 | 4116 | 99.61% | 98.69% |
6 | SVM | 8 Layers SVM Classifier | Alexnet Layers | 122 | 4116 | 99.41% | 97.15% |
7 | RandomForest | gini , 100 estimators | None | 36 | 3060 | 95.00% | 94.79% |
8 | RandomForest | gini , 100 estimators | None | 44 | 2088 | 96.00% | 94.99 % |
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