cmarkea
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dit-base-layout-detection

Image Segmentation

Inference Endpoints

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Cyrile commited on Aug 15

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@@ -41,7 +41,7 @@ dataset of DocLayNet.
 Now, let's compare the performance of this model with other models.
-|      Class                                                                                    | f1-score (x100) | GIoU (x100) | accuracy (x100) |
 |:---------------------------------------------------------------------------------------------:|:---------------:|:-----------:|:---------------:|
 | cmarkea/dit-base-layout-detection                                                             |      90.77      |    56.29    |      85.26      |
 | [cmarkea/detr-layout-detection](https://huggingface.co/cmarkea/detr-layout-detection)         |      89.72      |    76.42    |      87.06      |

 Now, let's compare the performance of this model with other models.
+|      Model                                                                                    | f1-score (x100) | GIoU (x100) | accuracy (x100) |
 |:---------------------------------------------------------------------------------------------:|:---------------:|:-----------:|:---------------:|
 | cmarkea/dit-base-layout-detection                                                             |      90.77      |    56.29    |      85.26      |
 | [cmarkea/detr-layout-detection](https://huggingface.co/cmarkea/detr-layout-detection)         |      89.72      |    76.42    |      87.06      |