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https://github.com/egiiputra/corn-stem-disease-classification

Image classification using CNN with various architectures and optimizers
https://github.com/egiiputra/corn-stem-disease-classification

cnn deep-learning image-classification machine-learning tensorflow

Last synced: about 2 months ago
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Image classification using CNN with various architectures and optimizers

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# Corn stem disease classification

## Test result
|Dataset |Architecture|Optimizer|Accuracy|Precision|Recall|F1-Score|
|--------|----------|---------|--------|---------|------|--------|
|Original|VGG16 |SGD |33,00% |11,00% |33,00%|17,00% |
| | |RMSprop |95,00% |95,00% |95,00%|95,00% |
| | |Adam |97,00% |97,00% |97,00%|97,00% |
| |VGG19 |SGD |37,00% |45,00% |37,00%|23,00% |
| | |RMSprop |77,00% |79,00% |77,00%|76,00% |
| | |Adam |92,00% |92,00% |92,00%|92,00% |
| |AlexNet |SGD |57,00% |38,00% |57,00%|46,00% |
| | |RMSprop |82,00% |83,00% |82,00%|82,00% |
| | |Adam |63,00% |44,00% |63,00%|51,00% |
| |ResNet101 |SGD |47,00% |31,00% |47,00%|36,00% |
| | |RMSprop |43,00% |67,00% |43,00%|34,00% |
| | |Adam |97,00% |97,00% |97,00%|97,00% |
|CLAHE |VGG16 |SGD |37,00% |31,00% |37,00%|29,00% |
| | |RMSprop |70,00% |73,00% |70,00%|70,00% |
| | |Adam |87,00% |89,00% |87,00%|86,00% |
| |VGG19 |SGD |33,00% |11,00% |33,00%|17,00% |
| | |RMSprop |80,00% |80,00% |80,00%|80,00% |
| | |Adam |95,00% |95,00% |95,00%|95,00% |
| |AlexNet |SGD |42,00% |40,00% |42,00%|31,00% |
| | |RMSprop |90,00% |91,00% |90,00%|90,00% |
| | |Adam |60,00% |70,00% |60,00%|57,00% |
| |ResNet101 |SGD |33,00% |11,00% |33,00%|17,00% |
| | |RMSprop |33,00% |11,00% |33,00%|17,00% |
| | |Adam |33,00% |11,00% |33,00%|17,00% |