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--- |
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library_name: YOLO |
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license: cc0-1.0 |
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tags: |
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- YOLO |
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- object-detection |
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- dla |
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- historical |
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metrics: |
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- P |
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- R |
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- mAP@50 |
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- mAP@50-95 |
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pipeline_tag: object-detection |
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version: |
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- YOLOv8 |
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--- |
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# YOLOv8 - PELLET Casimir Marius - Line + Illustration detection |
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This model predicts the following elements from document images: |
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- text line |
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- illustration |
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## Model description |
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The model has been trained using the YOLOv8 library on [PELLET Casimir Marius](https://huggingface.co/datasets/Teklia/PELLET-Casimir-Marius-yolov8) dataset. |
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It has been trained on images with their dimensions equal to 640 pixels, starting from the YOLOv8m checkpoint. |
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## Evaluation results |
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The model achieves the following results: |
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| Set | Class | Images | Instances | P | R | mAP@50 | mAP@50-95 | |
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| ----- | ------------ | ------ | --------- | ----- | ----- | ------ | --------- | |
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| train | all | 80 | 881 | 0.707 | 0.823 | 0.825 | 0.457 | |
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| | text line | 80 | 843 | 0.801 | 0.73 | 0.781 | 0.275 | |
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| | illustration | 80 | 38 | 0.613 | 0.916 | 0.87 | 0.64 | |
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| val | all | 10 | 129 | 0.608 | 0.872 | 0.847 | 0.493 | |
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| | text line | 10 | 125 | 0.791 | 0.744 | 0.7 | 0.256 | |
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| | illustration | 10 | 4 | 0.424 | 1 | 0.995 | 0.731 | |
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| test | all | 10 | 125 | 0.767 | 0.881 | 0.932 | 0.556 | |
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| | text line | 10 | 122 | 0.903 | 0.763 | 0.868 | 0.331 | |
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| | illustration | 10 | 3 | 0.631 | 1 | 0.995 | 0.78 | |
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## How to use? |
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- Download the [weights of this model](https://huggingface.co/Teklia/PELLET-CasimirMarius-YOLOv8/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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