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--- |
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library_name: YOLOv11 |
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license: mit |
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tags: |
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- YOLO |
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- PyTorch |
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- object-detection |
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- dla |
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- generic |
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metrics: |
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- IoU |
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- F1 |
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- [email protected] |
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- [email protected] |
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- AP@[.5,.95] |
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pipeline_tag: image-segmentation |
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version: |
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- YOLOv11 |
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--- |
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# YOLOv11 - Generic page detection |
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The generic page detection model predicts single pages from document images. |
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## Model description |
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The model has been trained using the YOLOv11 library on multiple datasets. |
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It has been trained on images with their dimensions equal to 640 pixels, starting from the YOLOv11l checkpoint. |
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## Evaluation results |
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The model achieves the following results: |
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| Set | Images | Instances | Box-P | Box-R | Box-mAP@50 | Box-mAP@[50-95] | Mask-P | Mask-R | Mask-mAP@50 | Mask-mAP@[50-95] | |
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| ----- | ------ | --------- | ----- | ----- | ---------- | --------------- | ------ | ------ | ----------- | ---------------- | |
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| train | 1579 | 2210 | 0.999 | 0.996 | 0.995 | 0.994 | 0.999 | 0.996 | 0.995 | 0.993 | |
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| val | 146 | 208 | 0.986 | 0.995 | 0.989 | 0.985 | 0.986 | 0.995 | 0.989 | 0.985 | |
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| test | 144 | 215 | 0.995 | 1.00 | 0.995 | 0.994 | 0.995 | 1.00 | 0.995 | 0.991 | |
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## How to use? |
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- Download the [weights of this model](https://huggingface.co/Teklia/yolov11-generic-page/resolve/main/model.pt?download=true); |
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- Refer to the [Ultralytics documentation](https://docs.ultralytics.com/modes/predict/) to use this model. |
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