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Added a confusion matrix in the readme.
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@seuretm
seuretm committed Jul 3, 2020
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Expand Up @@ -58,6 +58,24 @@ is trained on the following 12 classes:

- not_a_font

The confusion matrix obtained with a DenseNet-121 on the pages with a single font from the dataset (see "Training a classifier" below) is:

| | Antiqua | Bastarda | Fraktur | Got.-Ant. | Greek | Hebrew | Italic | Rotunda | Schwabacher | Textura | Other font | Not a font | Recall |
|----------------|---------|----------|---------|-----------|-------|--------|--------|---------|-------------|---------|------------|------------|--------|
| Antiqua | 1531 | | 10 | | | | 5 | 2 | | | | 5 | 98.6% |
| Bastarda | | 286 | | | | | | 6 | 10 | 1 | | | 94.4 |
| Fraktur | | | 1933 | | | | | 1 | 5 | 1 | | 2 | 99.5% |
| Gotico-Antiqua | | | | 269 | | | | | | 1 | | | 99.6 |
| Greek | | | | | 58 | 1 | | | | | 1 | | 96.7% |
| Hebrew | | | | | 1 | 326 | | | | | | | 99.7% |
| Italic | | | 1 | | | | 187 | | | | | | 99.5% |
| Rotunda | | | | 9 | | | | 1495 | 5 | 11 | | 1 | 98.3% |
| Schwabacher | | 16 | 4 | | | | | 2 | 452 | | | | 95.4% |
| Textura | | | | 2 | | | | | | 371 | | 1 | 99.2% |
| Other font | | | | | | | | | | | 288 | 15 | 94.1% |
| Not a font | 4 | | 2 | 2 | 1 | | 5 | 1 | 7 | | 4 | 2331 | 98.9% |
| Precision | 99.7% | 94.7% | 99.1% | 95.4% | 96.7% | 99.4% | 94.9% | 99.1% | 94.2% | 96.4% | 98.3% | 99.0% | |

## Updating PyTorch
If you update PyTorch, it is possible that the model cannot be loaded
anymore. To solve this issue, proceed as follows.
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