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