Update README.md

README.md

@@ -1,3 +1,45 @@
----
-license: mit
----
+---
+library_name: YOLOv11
+license: mit
+tags:
+- YOLO
+- PyTorch
+- object-detection
+- dla
+- generic
+metrics:
+- IoU
+- F1
+- [email protected]
+- [email protected]
+- AP@[.5,.95]
+pipeline_tag: image-segmentation
+version:
+- YOLOv11
+---
+
+# YOLOv11 - Generic page detection
+
+The generic page detection model predicts single pages from document images.
+
+## Model description
+
+The model has been trained using the YOLOv11 library on multiple datasets.
+It has been trained on images with their dimensions equal to 640 pixels, starting from the YOLOv11l checkpoint.
+
+## Evaluation results
+
+The model achieves the following results:
+
+| 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] |
+| ----- | ------ | --------- | ----- | ----- | ---------- | --------------- | ------ | ------ | ----------- | ---------------- |
+| train | 1579   | 2210      | 0.999 | 0.996 | 0.995      | 0.994           | 0.999  | 0.996  | 0.995       | 0.993            |
+| val   | 146    | 208       | 0.986 | 0.995 | 0.989      | 0.985           | 0.986  | 0.995  | 0.989       | 0.985            |
+| test  | 144    | 215       | 0.995 | 1.00  | 0.995      | 0.994           | 0.995  | 1.00   | 0.995       | 0.991            |
+
+
+## How to use?
+
+- Download the [weights of this model](https://huggingface.co/Teklia/yolov11-generic-page/resolve/main/model.pt?download=true);
+- Refer to the [Ultralytics documentation](https://docs.ultralytics.com/modes/predict/) to use this model.
+