Research Article
A Custom Backbone UNet Framework with DCGAN Augmentation for Efficient Segmentation of Leaf Spot Diseases in Jasmine Plant
Table 2
Performance metrics for various segmentation models with various backbones.
| Backbones | Stage | mIoU | Dice | UNet | WUNet | U2Net | ResUNet | UNet | WUNet | U2Net | ResUNet |
| ResNet | Brown stage | 0.68 | 0.61 | 0.62 | 0.72 | 0.73 | 0.71 | 0.68 | 0.69 | Final stage | 0.78 | 0.72 | 0.72 | 0.73 | 0.65 | 0.68 | 0.71 | 0.70 |
| EfficientNet | Brown stage | 0.86 | 0.72 | 0.88 | 0.82 | 0.77 | 0.75 | 0.72 | 0.71 | Final stage | 0.81 | 0.68 | 0.62 | 0.82 | 0.78 | 0.76 | 0.78 | 0.74 |
| VGG16 | Brown stage | 0.83 | 0.84 | 0.85 | 0.79 | 0.75 | 0.76 | 0.77 | 0.74 | Final stage | 0.85 | 0.81 | 0.80 | 0.82 | 0.84 | 0.77 | 0.79 | 0.78 |
| VGG19 | Brown stage | 0.85 | 0.82 | 0.87 | 0.78 | 0.72 | 0.76 | 0.77 | 0.78 | Final stage | 0.86 | 0.81 | 0.85 | 0.75 | 0.79 | 0.75 | 0.76 | 0.79 |
| Custombackbone | Brown stage | 0.88 | 0.86 | 0.84 | 0.92 | 0.85 | 0.87 | 0.85 | 0.95 | Final stage | 0.85 | 0.85 | 0.87 | 0.91 | 0.84 | 0.85 | 0.89 | 0.96 |
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Bold values represent the best performance model.
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