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README.md
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@@ -27,12 +27,12 @@ These model is used for monochrome image classification, based on CNNs and Trans
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The following are the checkpoints that have been formally put into use, all based on the Caformer architecture:
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| Checkpoint | Algorithm | Accuracy | False Negative | False Positive |
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| monochrome-caformer-40 | caformer | 96.41% | 2.69% | 0.89% |
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| **monochrome-caformer-110** | caformer | **96.97%** | 1.57% | 1.46% |
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| monochrome-caformer_safe2-80 | caformer | 94.84% | **1.12%** | 4.03% |
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| monochrome-caformer_safe4-70 | caformer | 94.28% | **0.67%** | 5.04% |
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**`monochrome-caformer-110` has the best overall accuracy** among them, but considering that this model is often used to screen out monochrome images
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and we want to screen out as many as possible without omission, we have also introduced weighted models (`safe2` and `safe4`).
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The following are the checkpoints that have been formally put into use, all based on the Caformer architecture:
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| Checkpoint | Algorithm | Safe Level | Accuracy | False Negative | False Positive |
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|:----------------------------:|:---------:|:----------:|:----------:|:--------------:|:--------------:|
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| monochrome-caformer-40 | caformer | 0 | 96.41% | 2.69% | 0.89% |
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| **monochrome-caformer-110** | caformer | 0 | **96.97%** | 1.57% | 1.46% |
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| monochrome-caformer_safe2-80 | caformer | 2 | 94.84% | **1.12%** | 4.03% |
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| monochrome-caformer_safe4-70 | caformer | 4 | 94.28% | **0.67%** | 5.04% |
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**`monochrome-caformer-110` has the best overall accuracy** among them, but considering that this model is often used to screen out monochrome images
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and we want to screen out as many as possible without omission, we have also introduced weighted models (`safe2` and `safe4`).
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