Update README.md

README.md

@@ -6,6 +6,15 @@ pipeline_tag: object-detection
 tags:
 - printed-circuit-boards
 library_name: ultralytics
+model-index:
+- name: ultralytics/yolo11
+  results:
+  - task:
+      type: object-detection
+    metrics:
+      - type: f1
+        value: 93.8%
+        name: F1 Score
 metrics:
 - f1 - 93.8%
 - mAP50 - 93.0%
@@ -15,6 +24,8 @@ metrics:
 
 There are [a lot of models](https://universe.roboflow.com/roboflow-100/printed-circuit-board/model/3) for detecting components within a Printed Circuit Board (PCB), but not as many for detecting which pixels (if any) in an image contain the PCB itself. Being able to determine if and where a PCB is in an image is useful for [calculating its size to estimate carbon footprint]((https://github.com/SanderGi/LCA)), as a preprocessing step for detecting components, to limit the amount of image more expensive PCB defect detection models have to process, and more.
 
+Read more [here](https://github.com/SanderGi/PCB-Detection).
+
 ## Usage
 
 1. Download [`the model weights`](https://huggingface.co/SanderGi/PCB-OBB/resolve/main/best.pt?download=true)